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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
    563 cites at Google Scholar
    7405% 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
    11403 cites at Google Scholar
    6950% above average of year
    Visited: Jun-2025
    Paper: DOI
  3. 3
    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
    397 cites at Google Scholar
    5192% above average of year
    Visited: Jun-2025
    Paper: DOI
  4. 4
    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
    2538 cites at Google Scholar
    4774% above average of year
    Visited: Jul-2025
    Paper: DOI
  5. 5
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6912 cites at Google Scholar
    4549% above average of year
    Visited: Jun-2025
    Paper: DOI
  6. 6
    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
    780 cites at Google Scholar
    4171% above average of year
    Visited: Jun-2025
    Paper: DOI
  7. 7
    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
    7275 cites at Google Scholar
    3892% above average of year
    Visited: Jul-2025
    Paper: DOI
  8. 8
    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
    6097 cites at Google Scholar
    3670% above average of year
    Visited: Jul-2025
    Paper: DOI
  9. 9
    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
    270 cites at Google Scholar
    3499% above average of year
    Visited: Jul-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
    7152 cites at Google Scholar
    3316% above average of year
    Visited: Jul-2025
    Paper: DOI
  11. 11
    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
    3315 cites at Google Scholar
    3313% above average of year
    Visited: Jun-2025
    Paper: DOI
  12. 12
    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
    5457 cites at Google Scholar
    3253% above average of year
    Visited: Jul-2025
    Paper: DOI
  13. 13
    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
    3562 cites at Google Scholar
    3133% above average of year
    Visited: Jul-2025
    Paper: DOI
  14. 14
    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
    5458 cites at Google Scholar
    2912% above average of year
    Visited: Jul-2025
    Paper: DOI
  15. 15
    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
    4733 cites at Google Scholar
    2826% above average of year
    Visited: Jul-2025
    Paper: DOI
  16. 16
    Kushal Babel, Andrey Chursin, George Danezis, Anastasios Kichidis, Lefteris Kokoris-Kogias, Arun Koshy, Alberto Sonnino, and Mingwei Tian:
    Mysticeti: Reaching the Latency Limits with Uncertified DAGs.
    Network and Distributed System Security Symposium (NDSS), 2025
    60 cites at Google Scholar
    2823% above average of year
    Visited: Jul-2025
    Paper: DOI
  17. 17
    Wen-jie Lu, Zhicong Huang, Zhen Gu, Jingyu Li, Jian Liu, Cheng Hong, Kui Ren, Tao Wei, and Wenguang Chen:
    BumbleBee: Secure Two-party Inference Framework for Large Transformers.
    Network and Distributed System Security Symposium (NDSS), 2025
    59 cites at Google Scholar
    2774% above average of year
    Visited: Jul-2025
    Paper: DOI
  18. 18
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy (S&P), 1989
    1531 cites at Google Scholar
    2761% above average of year
    Visited: May-2025
    Paper: DOI
  19. 19
    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
    906 cites at Google Scholar
    2748% above average of year
    Visited: Jun-2025
    Paper: DOI
  20. 20
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    6666 cites at Google Scholar
    2731% above average of year
    Visited: Jul-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
    3831 cites at Google Scholar
    2673% above average of year
    Visited: Jun-2025
    Paper: DOI
  22. 22
    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
    4190 cites at Google Scholar
    2474% above average of year
    Visited: Jul-2025
    Paper: DOI
  23. 23
    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
    2308 cites at Google Scholar
    2365% above average of year
    Visited: Jul-2025
    Paper: DOI
  24. 24
    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
    3922 cites at Google Scholar
    2325% above average of year
    Visited: Jun-2025
    Paper: DOI
  25. 25
    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
    2246% above average of year
    Visited: May-2025
    Paper: DOI
  26. 26
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    3223 cites at Google Scholar
    2233% above average of year
    Visited: Jul-2025
    Paper: DOI
  27. 27
    Arvind Narayanan and Vitaly Shmatikov:
    Robust De-anonymization of Large Sparse Datasets.
    IEEE Symposium on Security and Privacy (S&P), 2008
    3736 cites at Google Scholar
    2214% above average of year
    Visited: Jul-2025
    Paper: DOI
  28. 28
    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
    1187 cites at Google Scholar
    2179% above average of year
    Visited: Jul-2025
    Paper: DOI
  29. 29
    Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury:
    Large Language Model guided Protocol Fuzzing.
    Network and Distributed System Security Symposium (NDSS), 2024
    169 cites at Google Scholar
    2153% above average of year
    Visited: Jun-2025
    Paper: DOI
  30. 30
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3445 cites at Google Scholar
    2104% above average of year
    Visited: Jul-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
    4010 cites at Google Scholar
    2082% above average of year
    Visited: Jul-2025
    Paper: DOI
  32. 32
    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
    2928 cites at Google Scholar
    2044% above average of year
    Visited: Jul-2025
    Paper: DOI
  33. 33
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4202 cites at Google Scholar
    2037% above average of year
    Visited: Jul-2025
    Paper: DOI
  34. 34
    Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia, and Neil Zhenqiang Gong:
    Formalizing and Benchmarking Prompt Injection Attacks and Defenses.
    USENIX Security Symposium, 2024
    158 cites at Google Scholar
    2006% above average of year
    Visited: Jul-2025
    Paper: DOI
  35. 35
    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
    3090 cites at Google Scholar
    1989% above average of year
    Visited: Jun-2025
    Paper: DOI
  36. 36
    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
    3400 cites at Google Scholar
    1989% above average of year
    Visited: Jul-2025
    Paper: DOI
  37. 37
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5594 cites at Google Scholar
    1980% above average of year
    Visited: Jun-2025
    Paper: DOI
  38. 38
    Andy Zhou, Xiaojun Xu, Ramesh Raghunathan, Alok Lal, Xinze Guan, Bin Yu, and Bo Li:
    KnowGraph: Knowledge-Enabled Anomaly Detection via Logical Reasoning on Graph Data.
    ACM Conference on Computer and Communications Security (CCS), 2024
    156 cites at Google Scholar
    1980% above average of year
    Visited: Jun-2025
    Paper: DOI
  39. 39
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    1537 cites at Google Scholar
    1978% above average of year
    Visited: Jun-2025
    Paper: DOI
  40. 40
    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
    2221 cites at Google Scholar
    1916% above average of year
    Visited: Jul-2025
    Paper: DOI
  41. 41
    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
    3131 cites at Google Scholar
    1903% above average of year
    Visited: Jul-2025
    Paper: DOI
  42. 42
    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
    4185 cites at Google Scholar
    1899% above average of year
    Visited: Jul-2025
    Paper: DOI
  43. 43
    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
    2893 cites at Google Scholar
    1856% above average of year
    Visited: Jul-2025
    Paper: DOI
  44. 44
    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
    3528 cites at Google Scholar
    1836% above average of year
    Visited: Jul-2025
    Paper: DOI
  45. 45
    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
    143 cites at Google Scholar
    1806% above average of year
    Visited: Jul-2025
    Paper: DOI
  46. 46
    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
    1800% above average of year
    Visited: Apr-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
    3380 cites at Google Scholar
    1755% above average of year
    Visited: Jul-2025
    Paper: DOI
  48. 48
    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
    2983 cites at Google Scholar
    1744% above average of year
    Visited: Jul-2025
    Paper: DOI
  49. 49
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    3115 cites at Google Scholar
    1703% above average of year
    Visited: Jul-2025
    Paper: DOI
  50. 50
    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
    2918 cites at Google Scholar
    1693% above average of year
    Visited: Jun-2025
    Paper: DOI
  51. 51
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    2403 cites at Google Scholar
    1660% above average of year
    Visited: Jul-2025
    Paper: DOI
  52. 52
    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
    132 cites at Google Scholar
    1660% above average of year
    Visited: Jul-2025
    Paper: DOI
  53. 53
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2600 cites at Google Scholar
    1658% above average of year
    Visited: May-2025
    Paper: DOI
  54. 54
    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
    1588% above average of year
    Visited: Apr-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
    1859 cites at Google Scholar
    1587% above average of year
    Visited: Jun-2025
    Paper: DOI
  56. 56
    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
    3068 cites at Google Scholar
    1570% above average of year
    Visited: Jul-2025
    Paper: DOI
  57. 57
    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
    1555% above average of year
    Visited: May-2025
    Paper: DOI
  58. 58
    Saad Ullah, Mingji Han, Saurabh Pujar, Hammond Pearce, Ayse K. Coskun, and Gianluca Stringhini:
    LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks.
    IEEE Symposium on Security and Privacy (S&P), 2024
    124 cites at Google Scholar
    1553% above average of year
    Visited: Jul-2025
    Paper: DOI
  59. 59
    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
    2691 cites at Google Scholar
    1541% above average of year
    Visited: Jul-2025
    Paper: DOI
  60. 60
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy (S&P), 2003
    4449 cites at Google Scholar
    1530% above average of year
    Visited: Jul-2025
    Paper: DOI
  61. 61
    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
    33 cites at Google Scholar
    1507% above average of year
    Visited: Jul-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
    511 cites at Google Scholar
    1506% above average of year
    Visited: Jun-2025
    Paper: DOI
  63. 63
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    2557 cites at Google Scholar
    1471% above average of year
    Visited: Jul-2025
    Paper: DOI
  64. 64
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    2514 cites at Google Scholar
    1454% above average of year
    Visited: Jul-2025
    Paper: DOI
  65. 65
    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
    282 cites at Google Scholar
    1444% above average of year
    Visited: Jul-2025
    Paper: DOI
  66. 66
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy (S&P), 1982
    3210 cites at Google Scholar
    1402% above average of year
    Visited: Jun-2025
    Paper: DOI
  67. 67
    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
    2449 cites at Google Scholar
    1394% above average of year
    Visited: Jul-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
    2208 cites at Google Scholar
    1393% above average of year
    Visited: Jul-2025
    Paper: DOI
  69. 69
    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
    1390% above average of year
    Visited: Apr-2025
    Paper: DOI
  70. 70
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2300 cites at Google Scholar
    1378% above average of year
    Visited: Jun-2025
    Paper: DOI
  71. 71
    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
    2430 cites at Google Scholar
    1349% above average of year
    Visited: Jul-2025
    Paper: DOI
  72. 72
    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
    108 cites at Google Scholar
    1340% above average of year
    Visited: Jun-2025
    Paper: DOI
  73. 73
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2706 cites at Google Scholar
    1335% above average of year
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    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
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    Joseph Bonneau, Andrew Miller, Jeremy Clark, Arvind Narayanan, Joshua A. Kroll, and Edward W. Felten:
    SoK: Research Perspectives and Challenges for Bitcoin and Cryptocurrencies.
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    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
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    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.
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    Arthur Gervais, Ghassan O. Karame, Karl Wüst, Vasileios Glykantzis, Hubert Ritzdorf, and Srdjan Capkun:
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    Shawn Shan, Jenna Cryan, Emily Wenger, Haitao Zheng, Rana Hanocka, and Ben Y. Zhao:
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  80. 80
    Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, and Ling Liu:
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    Wenke Lee, Salvatore J. Stolfo, and Kui W. Mok:
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    Linyi Li, Tao Xie, and Bo Li:
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    Ralph C. Merkle:
    Protocols for Public Key Cryptosystems.
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  84. 84
    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song:
    The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
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    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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    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.
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    Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, and Nicolas Papernot:
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    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
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  89. 89
    James Newsome and Dawn Xiaodong Song:
    Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software.
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    Thomas Beth, Malte Borcherding, and Birgit Klein:
    Valuation of Trust in Open Networks.
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    Neil Perry, Megha Srivastava, Deepak Kumar, and Dan Boneh:
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  92. 92
    Mahmood Sharif, Sruti Bhagavatula, Lujo Bauer, and Michael K. Reiter:
    Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition.
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  93. 93
    Philip Daian, Steven Goldfeder, Tyler Kell, Yunqi Li, Xueyuan Zhao, Iddo Bentov, Lorenz Breidenbach, and Ari Juels:
    Flash Boys 2.0: Frontrunning in Decentralized Exchanges, Miner Extractable Value, and Consensus Instability.
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    Adrienne Porter Felt, Erika Chin, Steve Hanna, Dawn Song, and David A. Wagner:
    Android permissions demystified.
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  95. 95
    Yan Pang, Tianhao Wang, Xuhui Kang, Mengdi Huai, and Yang Zhang:
    White-box Membership Inference Attacks against Diffusion Models.
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  96. 96
    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.
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    Jianbo Chen, Michael I. Jordan, and Martin J. Wainwright:
    HopSkipJumpAttack: A Query-Efficient Decision-Based Attack.
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    Alexander Warnecke, Lukas Pirch, Christian Wressnegger, and Konrad Rieck:
    Machine Unlearning of Features and Labels.
    Network and Distributed System Security Symposium (NDSS), 2023
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    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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    Matthew K. Franklin and Michael K. Reiter:
    The design and implementation of a secure auction service.
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    Paper: DOI

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