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Normalized Top-100 Security Papers

This webpage is an attempt to assemble a ranking of top-cited papers from the area of computer security. The ranking has been created based on citations of papers published at top security conferences. More details are available here.

Absolute citations are not necessarily a good indicator for the impact of a paper, as the number of citations usually grows with the age of a paper. The following list shows an alternative ranking, where the citations are normalized by the age of each paper.

Top 100 papers normalized by age ⌄

  1. 1
    Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang:
    "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.
    ACM Conference on Computer and Communications Security (CCS), 2024
    534 cites at Google Scholar
    10649% above average of year
    Visited: May-2025
    Paper: DOI
  2. 2
    Nicholas Carlini and David A. Wagner:
    Towards Evaluating the Robustness of Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2017
    11001 cites at Google Scholar
    6966% above average of year
    Visited: Apr-2025
    Paper: DOI
  3. 3
    Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom B. Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel:
    Extracting Training Data from Large Language Models.
    USENIX Security Symposium, 2021
    2227 cites at Google Scholar
    4488% above average of year
    Visited: May-2025
    Paper: DOI
  4. 4
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6729 cites at Google Scholar
    4478% above average of year
    Visited: Jan-2025
    Paper: DOI
  5. 5
    Martín Abadi, Andy Chu, Ian J. Goodfellow, H. Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang:
    Deep Learning with Differential Privacy.
    ACM Conference on Computer and Communications Security (CCS), 2016
    7672 cites at Google Scholar
    4427% above average of year
    Visited: Apr-2025
    Paper: DOI
  6. 6
    Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, and Florian Tramèr:
    Poisoning Web-Scale Training Datasets is Practical.
    IEEE Symposium on Security and Privacy (S&P), 2024
    218 cites at Google Scholar
    4288% above average of year
    Visited: Apr-2025
    Paper: DOI
  7. 7
    Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, and Eric Wallace:
    Extracting Training Data from Diffusion Models.
    USENIX Security Symposium, 2023
    662 cites at Google Scholar
    4197% above average of year
    Visited: Mar-2025
    Paper: DOI
  8. 8
    Vipul Goyal, Omkant Pandey, Amit Sahai, and Brent Waters:
    Attribute-based encryption for fine-grained access control of encrypted data.
    ACM Conference on Computer and Communications Security (CCS), 2006
    7389 cites at Google Scholar
    3914% above average of year
    Visited: Apr-2025
    Paper: DOI
  9. 9
    Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov:
    Membership Inference Attacks Against Machine Learning Models.
    IEEE Symposium on Security and Privacy (S&P), 2017
    5748 cites at Google Scholar
    3592% above average of year
    Visited: May-2025
    Paper: DOI
  10. 10
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy (S&P), 2007
    7119 cites at Google Scholar
    3268% above average of year
    Visited: Mar-2025
    Paper: DOI
  11. 11
    Paul Kocher, Jann Horn, Anders Fogh, Daniel Genkin, Daniel Gruss, Werner Haas, Mike Hamburg, Moritz Lipp, Stefan Mangard, Thomas Prescher, Michael Schwarz, and Yuval Yarom:
    Spectre Attacks: Exploiting Speculative Execution.
    IEEE Symposium on Security and Privacy (S&P), 2019
    3392 cites at Google Scholar
    3206% above average of year
    Visited: May-2025
    Paper: DOI
  12. 12
    Dawn Xiaodong Song, David A. Wagner, and Adrian Perrig:
    Practical Techniques for Searches on Encrypted Data.
    IEEE Symposium on Security and Privacy (S&P), 2000
    5339 cites at Google Scholar
    3014% above average of year
    Visited: Apr-2025
    Paper: DOI
  13. 13
    Stephanie Forrest, Alan S. Perelson, Lawrence Allen, and Rajesh Cherukuri:
    Self-nonself discrimination in a computer.
    IEEE Symposium on Security and Privacy (S&P), 1994
    3297 cites at Google Scholar
    2939% above average of year
    Visited: Mar-2025
    Paper: DOI
  14. 14
    Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami:
    The Limitations of Deep Learning in Adversarial Settings.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2016
    5120 cites at Google Scholar
    2921% above average of year
    Visited: Dec-2024
    Paper: DOI
  15. 15
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy (S&P), 1989
    1530 cites at Google Scholar
    2912% above average of year
    Visited: May-2025
    Paper: DOI
  16. 16
    Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, and Ananthram Swami:
    Practical Black-Box Attacks against Machine Learning.
    ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2017
    4564 cites at Google Scholar
    2832% above average of year
    Visited: Apr-2025
    Paper: DOI
  17. 17
    Ye Liu, Yue Xue, Daoyuan Wu, Yuqiang Sun, Yi Li, Miaolei Shi, and Yang Liu:
    PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation.
    Network and Distributed System Security Symposium (NDSS), 2025
    27 cites at Google Scholar
    2798% above average of year
    Visited: May-2025
    Paper: DOI
  18. 18
    Nicholas Carlini, Steve Chien, Milad Nasr, Shuang Song, Andreas Terzis, and Florian Tramèr:
    Membership Inference Attacks From First Principles.
    IEEE Symposium on Security and Privacy (S&P), 2022
    839 cites at Google Scholar
    2787% above average of year
    Visited: May-2025
    Paper: DOI
  19. 19
    Jiawen Zhang, Xinpeng Yang, Lipeng He, Kejia Chen, Wen-jie Lu, Yinghao Wang, Xiaoyang Hou, Jian Liu, Kui Ren, and Xiaohu Yang:
    Secure Transformer Inference Made Non-interactive.
    Network and Distributed System Security Symposium (NDSS), 2025
    26 cites at Google Scholar
    2690% above average of year
    Visited: Mar-2025
    Paper: DOI
  20. 20
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    6213 cites at Google Scholar
    2523% above average of year
    Visited: Jan-2025
    Paper: DOI
  21. 21
    Matt Fredrikson, Somesh Jha, and Thomas Ristenpart:
    Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures.
    ACM Conference on Computer and Communications Security (CCS), 2015
    3480 cites at Google Scholar
    2434% above average of year
    Visited: Dec-2024
    Paper: DOI
  22. 22
    Steven M. Bellovin and Michael Merritt:
    Encrypted key exchange: password-based protocols secure against dictionary attacks.
    IEEE Symposium on Security and Privacy (S&P), 1992
    2297 cites at Google Scholar
    2359% above average of year
    Visited: Apr-2025
    Paper: DOI
  23. 23
    Gelei Deng, Yi Liu, Yuekang Li, Kailong Wang, Ying Zhang, Zefeng Li, Haoyu Wang, Tianwei Zhang, and Yang Liu:
    MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots.
    Network and Distributed System Security Symposium (NDSS), 2024
    122 cites at Google Scholar
    2356% above average of year
    Visited: Feb-2025
    Paper: DOI
  24. 24
    Shuo Shao, Yiming Li, Hongwei Yao, Yiling He, Zhan Qin, and Kui Ren:
    Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution.
    Network and Distributed System Security Symposium (NDSS), 2025
    22 cites at Google Scholar
    2261% above average of year
    Visited: May-2025
    Paper: DOI
  25. 25
    Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, and Ananthram Swami:
    Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2016
    3955 cites at Google Scholar
    2234% above average of year
    Visited: Jan-2025
    Paper: DOI
  26. 26
    Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, and Yang Zhang:
    MGTBench: Benchmarking Machine-Generated Text Detection.
    ACM Conference on Computer and Communications Security (CCS), 2024
    115 cites at Google Scholar
    2215% above average of year
    Visited: Apr-2025
    Paper: DOI
  27. 27
    Kallista A. Bonawitz, Vladimir Ivanov, Ben Kreuter, Antonio Marcedone, H. Brendan McMahan, Sarvar Patel, Daniel Ramage, Aaron Segal, and Karn Seth:
    Practical Secure Aggregation for Privacy-Preserving Machine Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
    3519 cites at Google Scholar
    2160% above average of year
    Visited: Jan-2025
    Paper: DOI
  28. 28
    Hammond Pearce, Benjamin Tan, Baleegh Ahmad, Ramesh Karri, and Brendan Dolan-Gavitt:
    Examining Zero-Shot Vulnerability Repair with Large Language Models.
    IEEE Symposium on Security and Privacy (S&P), 2023
    347 cites at Google Scholar
    2152% above average of year
    Visited: Apr-2025
    Paper: DOI
  29. 29
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    3014 cites at Google Scholar
    2095% above average of year
    Visited: Apr-2025
    Paper: DOI
  30. 30
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy (S&P), 2008
    3612 cites at Google Scholar
    2071% above average of year
    Visited: Apr-2025
    Paper: DOI
  31. 31
    Yao Liu, Michael K. Reiter, and Peng Ning:
    False data injection attacks against state estimation in electric power grids.
    ACM Conference on Computer and Communications Security (CCS), 2009
    3924 cites at Google Scholar
    2048% above average of year
    Visited: Mar-2025
    Paper: DOI
  32. 32
    Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury:
    Large Language Model guided Protocol Fuzzing.
    Network and Distributed System Security Symposium (NDSS), 2024
    106 cites at Google Scholar
    2034% above average of year
    Visited: Feb-2025
    Paper: DOI
  33. 33
    Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot:
    Machine Unlearning.
    IEEE Symposium on Security and Privacy (S&P), 2021
    1032 cites at Google Scholar
    2026% above average of year
    Visited: Apr-2025
    Paper: DOI
  34. 34
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4177 cites at Google Scholar
    2015% above average of year
    Visited: May-2025
    Paper: DOI
  35. 35
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3466 cites at Google Scholar
    2014% above average of year
    Visited: Mar-2025
    Paper: DOI
  36. 36
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5570 cites at Google Scholar
    1940% above average of year
    Visited: Mar-2025
    Paper: DOI
  37. 37
    Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, and Konrad Rieck:
    DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket.
    Network and Distributed System Security Symposium (NDSS), 2014
    2941 cites at Google Scholar
    1877% above average of year
    Visited: Jan-2025
    Paper: DOI
  38. 38
    Ahmed E. Kosba, Andrew Miller, Elaine Shi, Zikai Wen, and Charalampos Papamanthou:
    Hawk: The Blockchain Model of Cryptography and Privacy-Preserving Smart Contracts.
    IEEE Symposium on Security and Privacy (S&P), 2016
    3330 cites at Google Scholar
    1865% above average of year
    Visited: Apr-2025
    Paper: DOI
  39. 39
    Luca Melis, Congzheng Song, Emiliano De Cristofaro, and Vitaly Shmatikov:
    Exploiting Unintended Feature Leakage in Collaborative Learning.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1999 cites at Google Scholar
    1848% above average of year
    Visited: Apr-2025
    Paper: DOI
  40. 40
    Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, and Dawn Xiaodong Song:
    Provable data possession at untrusted stores.
    ACM Conference on Computer and Communications Security (CCS), 2007
    4099 cites at Google Scholar
    1839% above average of year
    Visited: Dec-2024
    Paper: DOI
  41. 41
    Reza Curtmola, Juan A. Garay, Seny Kamara, and Rafail Ostrovsky:
    Searchable symmetric encryption: improved definitions and efficient constructions.
    ACM Conference on Computer and Communications Security (CCS), 2006
    3564 cites at Google Scholar
    1836% above average of year
    Visited: Apr-2025
    Paper: DOI
  42. 42
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy (S&P), 1990
    1057 cites at Google Scholar
    1803% above average of year
    Visited: May-2025
    Paper: DOI
  43. 43
    Stephanie Forrest, Steven A. Hofmeyr, Anil Somayaji, and Thomas A. Longstaff:
    A Sense of Self for Unix Processes.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3106 cites at Google Scholar
    1795% above average of year
    Visited: Jan-2025
    Paper: DOI
  44. 44
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    1299 cites at Google Scholar
    1789% above average of year
    Visited: Jan-2025
    Paper: DOI
  45. 45
    Eli Ben-Sasson, Alessandro Chiesa, Christina Garman, Matthew Green, Ian Miers, Eran Tromer, and Madars Virza:
    Zerocash: Decentralized Anonymous Payments from Bitcoin.
    IEEE Symposium on Security and Privacy (S&P), 2014
    2803 cites at Google Scholar
    1784% above average of year
    Visited: Apr-2025
    Paper: DOI
  46. 46
    Manos Antonakakis, Tim April, Michael D. Bailey, Matt Bernhard, Elie Bursztein, Jaime Cochran, Zakir Durumeric, J. Alex Halderman, Luca Invernizzi, Michalis Kallitsis, Deepak Kumar, Chaz Lever, Zane Ma, Joshua Mason, Damian Menscher, Chad Seaman, Nick Sullivan, Kurt Thomas, and Yi Zhou:
    Understanding the Mirai Botnet.
    USENIX Security Symposium, 2017
    2897 cites at Google Scholar
    1761% above average of year
    Visited: May-2025
    Paper: DOI
  47. 47
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3424 cites at Google Scholar
    1760% above average of year
    Visited: Jan-2025
    Paper: DOI
  48. 48
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    3121 cites at Google Scholar
    1724% above average of year
    Visited: Apr-2025
    Paper: DOI
  49. 49
    Milad Nasr, Reza Shokri, and Amir Houmansadr:
    Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1860 cites at Google Scholar
    1713% above average of year
    Visited: Apr-2025
    Paper: DOI
  50. 50
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    2311 cites at Google Scholar
    1691% above average of year
    Visited: Apr-2025
    Paper: DOI
  51. 51
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2593 cites at Google Scholar
    1643% above average of year
    Visited: Apr-2025
    Paper: DOI
  52. 52
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy (S&P), 1986
    6360 cites at Google Scholar
    1632% above average of year
    Visited: Mar-2025
    Paper: DOI
  53. 53
    Thomas Ristenpart, Eran Tromer, Hovav Shacham, and Stefan Savage:
    Hey, you, get off of my cloud: exploring information leakage in third-party compute clouds.
    ACM Conference on Computer and Communications Security (CCS), 2009
    3074 cites at Google Scholar
    1583% above average of year
    Visited: Apr-2025
    Paper: DOI
  54. 54
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy (S&P), 1991
    1257 cites at Google Scholar
    1554% above average of year
    Visited: May-2025
    Paper: DOI
  55. 55
    Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y. Zhao:
    Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2019
    1683 cites at Google Scholar
    1540% above average of year
    Visited: Jan-2025
    Paper: DOI
  56. 56
    Moritz Lipp, Michael Schwarz, Daniel Gruss, Thomas Prescher, Werner Haas, Anders Fogh, Jann Horn, Stefan Mangard, Paul Kocher, Daniel Genkin, Yuval Yarom, and Mike Hamburg:
    Meltdown: Reading Kernel Memory from User Space.
    USENIX Security Symposium, 2018
    2102 cites at Google Scholar
    1529% above average of year
    Visited: May-2025
    Paper: DOI
  57. 57
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy (S&P), 2003
    4437 cites at Google Scholar
    1525% above average of year
    Visited: Mar-2025
    Paper: DOI
  58. 58
    Karl Koscher, Alexei Czeskis, Franziska Roesner, Shwetak N. Patel, Tadayoshi Kohno, Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, and Stefan Savage:
    Experimental Security Analysis of a Modern Automobile.
    IEEE Symposium on Security and Privacy (S&P), 2010
    2675 cites at Google Scholar
    1519% above average of year
    Visited: May-2025
    Paper: DOI
  59. 59
    Loi Luu, Duc-Hiep Chu, Hrishi Olickel, Prateek Saxena, and Aquinas Hobor:
    Making Smart Contracts Smarter.
    ACM Conference on Computer and Communications Security (CCS), 2016
    2730 cites at Google Scholar
    1511% above average of year
    Visited: Feb-2025
    Paper: DOI
  60. 60
    Xiaoyu Cao, Minghong Fang, Jia Liu, and Neil Zhenqiang Gong:
    FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping.
    Network and Distributed System Security Symposium (NDSS), 2021
    776 cites at Google Scholar
    1499% above average of year
    Visited: Apr-2025
    Paper: DOI
  61. 61
    Nils Lukas, Ahmed Salem, Robert Sim, Shruti Tople, Lukas Wutschitz, and Santiago Zanella Béguelin:
    Analyzing Leakage of Personally Identifiable Information in Language Models.
    IEEE Symposium on Security and Privacy (S&P), 2023
    241 cites at Google Scholar
    1464% above average of year
    Visited: Apr-2025
    Paper: DOI
  62. 62
    Daniel Arp, Erwin Quiring, Feargus Pendlebury, Alexander Warnecke, Fabio Pierazzi, Christian Wressnegger, Lorenzo Cavallaro, and Konrad Rieck:
    Dos and Don'ts of Machine Learning in Computer Security.
    USENIX Security Symposium, 2022
    445 cites at Google Scholar
    1431% above average of year
    Visited: Mar-2025
    Paper: DOI
  63. 63
    Tian Dong, Minhui Xue, Guoxing Chen, Rayne Holland, Yan Meng, Shaofeng Li, Zhen Liu, and Haojin Zhu:
    The Philosopher's Stone: Trojaning Plugins of Large Language Models.
    Network and Distributed System Security Symposium (NDSS), 2025
    14 cites at Google Scholar
    1403% above average of year
    Visited: Apr-2025
    Paper: DOI
  64. 64
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy (S&P), 1982
    3150 cites at Google Scholar
    1397% above average of year
    Visited: Jan-2025
    Paper: DOI
  65. 65
    Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, and Ramesh Karri:
    Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions.
    IEEE Symposium on Security and Privacy (S&P), 2022
    434 cites at Google Scholar
    1394% above average of year
    Visited: Dec-2024
    Paper: DOI
  66. 66
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    2297 cites at Google Scholar
    1375% above average of year
    Visited: Jan-2025
    Paper: DOI
  67. 67
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    2486 cites at Google Scholar
    1367% above average of year
    Visited: May-2025
    Paper: DOI
  68. 68
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    2150 cites at Google Scholar
    1345% above average of year
    Visited: Apr-2025
    Paper: DOI
  69. 69
    Stephen Checkoway, Damon McCoy, Brian Kantor, Danny Anderson, Hovav Shacham, Stefan Savage, Karl Koscher, Alexei Czeskis, Franziska Roesner, and Tadayoshi Kohno:
    Comprehensive Experimental Analyses of Automotive Attack Surfaces.
    USENIX Security Symposium, 2011
    2358 cites at Google Scholar
    1310% above average of year
    Visited: Mar-2025
    Paper: DOI
  70. 70
    Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, and Ning Zhang:
    Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.
    USENIX Security Symposium, 2024
    70 cites at Google Scholar
    1309% above average of year
    Visited: Mar-2025
    Paper: DOI
  71. 71
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1307 cites at Google Scholar
    1299% above average of year
    Visited: Mar-2025
    Paper: DOI
  72. 72
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2954 cites at Google Scholar
    1298% above average of year
    Visited: Dec-2024
    Paper: DOI
  73. 73
    Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh:
    Do Users Write More Insecure Code with AI Assistants?
    ACM Conference on Computer and Communications Security (CCS), 2023
    215 cites at Google Scholar
    1296% above average of year
    Visited: May-2025
    Paper: DOI
  74. 74
    Jayshree Sarathy and Salil P. Vadhan:
    Analyzing the Differentially Private Theil-Sen Estimator for Simple Linear Regression.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
    13 cites at Google Scholar
    1295% above average of year
    Visited: Mar-2025
    Paper: DOI
  75. 75
    Robin Sommer and Vern Paxson:
    Outside the Closed World: On Using Machine Learning for Network Intrusion Detection.
    IEEE Symposium on Security and Privacy (S&P), 2010
    2301 cites at Google Scholar
    1293% above average of year
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    Paper: DOI
  76. 76
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    212 cites at Google Scholar
    1276% above average of year
    Visited: Mar-2025
    Paper: DOI
  77. 77
    Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, and Nicolas Papernot:
    When the Curious Abandon Honesty: Federated Learning Is Not Private.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2023
    211 cites at Google Scholar
    1270% above average of year
    Visited: Feb-2025
    Paper: DOI
  78. 78
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
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    Visited: Dec-2024
    Paper: DOI
  79. 79
    Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao:
    SneakyPrompt: Jailbreaking Text-to-image Generative Models.
    IEEE Symposium on Security and Privacy (S&P), 2024
    67 cites at Google Scholar
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  80. 80
    Shawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu, Haitao Zheng, and Ben Y. Zhao:
    Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.
    IEEE Symposium on Security and Privacy (S&P), 2024
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  81. 81
    Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, and Edward W. Felten:
    SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
    IEEE Symposium on Security and Privacy (S&P), 2015
    1846 cites at Google Scholar
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    Paper: DOI
  82. 82
    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
    The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
    USENIX Security Symposium, 2019
    1375 cites at Google Scholar
    1240% above average of year
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    Paper: DOI
  83. 83
    Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y. Zhao:
    Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.
    USENIX Security Symposium, 2023
    205 cites at Google Scholar
    1231% above average of year
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  84. 84
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2292 cites at Google Scholar
    1225% above average of year
    Visited: May-2025
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  85. 85
    Yi Zeng, Minzhou Pan, Hoang Anh Just, Lingjuan Lyu, Meikang Qiu, and Ruoxi Jia:
    Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information.
    ACM Conference on Computer and Communications Security (CCS), 2023
    203 cites at Google Scholar
    1218% above average of year
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  86. 86
    Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
    On the Security and Performance of Proof of Work Blockchains.
    ACM Conference on Computer and Communications Security (CCS), 2016
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  87. 87
    Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
    Machine Unlearning of Features and Labels.
    Network and Distributed System Security Symposium (NDSS), 2023
    200 cites at Google Scholar
    1198% above average of year
    Visited: Apr-2025
    Paper: DOI
  88. 88
    Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
    Android permissions demystified.
    ACM Conference on Computer and Communications Security (CCS), 2011
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  89. 89
    Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, and Sebastian Steinhorst:
    Janus: Fast Privacy-Preserving Data Provenance For TLS.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
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  90. 90
    James Newsome and Dawn Xiaodong Song:
    Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software.
    Network and Distributed System Security Symposium (NDSS), 2005
    2466 cites at Google Scholar
    1172% above average of year
    Visited: May-2025
    Paper: DOI
  91. 91
    David D. Clark and D. R. Wilson:
    A Comparison of Commercial and Military Computer Security Policies.
    IEEE Symposium on Security and Privacy (S&P), 1987
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    Visited: Apr-2025
    Paper: DOI
  92. 92
    Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu:
    Data Poisoning Attacks Against Federated Learning Systems.
    European Symposium on Research in Computer Security (ESORICS), 2020
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    1165% above average of year
    Visited: Jan-2025
    Paper: DOI
  93. 93
    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
    IEEE Symposium on Security and Privacy (S&P), 2020
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    1154% above average of year
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    Paper: DOI
  94. 94
    Crispin Cowan, Calton Pu, Dave Maier, Heather Hintony, Jonathan Walpole, Peat Bakke, Steve Beattie, Aaron Grier, Perry Wagle, and Qian Zhang:
    StackGuard: Automatic Adaptive Detection and Prevention of Buffer-Overflow Attacks.
    USENIX Security Symposium, 1998
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    1149% above average of year
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  95. 95
    Kanav Gupta, Neha Jawalkar, Ananta Mukherjee, Nishanth Chandran, Divya Gupta, Ashish Panwar, and Rahul Sharma:
    SIGMA: Secure GPT Inference with Function Secret Sharing.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2024
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  96. 96
    Benedikt Bünz, Jonathan Bootle, Dan Boneh, Andrew Poelstra, Pieter Wuille, and Gregory Maxwell:
    Bulletproofs: Short Proofs for Confidential Transactions and More.
    IEEE Symposium on Security and Privacy (S&P), 2018
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  97. 97
    Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar:
    DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2017
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    1136% above average of year
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  98. 98
    Ilya Mironov:
    Rényi Differential Privacy.
    IEEE Computer Security Foundations Symposium (CSF), 2017
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  99. 99
    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
    A Data Mining Framework for Building Intrusion Detection Models.
    IEEE Symposium on Security and Privacy (S&P), 1999
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    1110% above average of year
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  100. 100
    Virat Shejwalkar, Amir Houmansadr, Peter Kairouz, and Daniel Ramage:
    Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning.
    IEEE Symposium on Security and Privacy (S&P), 2022
    348 cites at Google Scholar
    1098% above average of year
    Visited: May-2025
    Paper: DOI

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Last updated: 2025-05-19 11:01:06 CEST