TopNotch › Security Papers › Normalized Top-100 Ranking

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
    Nicholas Carlini and David A. Wagner:
    Towards Evaluating the Robustness of Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2017
    9843 cites at Google Scholar
    6786% above average of year
    Visited: Sep-2024
    Paper: DOI
  2. 2
    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
    449 cites at Google Scholar
    4527% above average of year
    Visited: Sep-2024
    Paper: DOI
  3. 3
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6614 cites at Google Scholar
    4423% above average of year
    Visited: Oct-2024
    Paper: DOI
  4. 4
    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
    6670 cites at Google Scholar
    4153% above average of year
    Visited: Oct-2024
    Paper: DOI
  5. 5
    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
    7187 cites at Google Scholar
    3908% above average of year
    Visited: Oct-2024
    Paper: DOI
  6. 6
    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
    1581 cites at Google Scholar
    3859% above average of year
    Visited: Oct-2024
    Paper: DOI
  7. 7
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy (S&P), 2007
    6970 cites at Google Scholar
    3286% above average of year
    Visited: Oct-2024
    Paper: DOI
  8. 8
    Zichen Gui, Kenneth G. Paterson, Sikhar Patranabis, and Bogdan Warinschi:
    SWiSSSE: System-Wide Security for Searchable Symmetric Encryption.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2024
    27 cites at Google Scholar
    3241% above average of year
    Visited: Oct-2024
    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
    4770 cites at Google Scholar
    3237% above average of year
    Visited: Sep-2024
    Paper: DOI
  10. 10
    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
    3079 cites at Google Scholar
    3231% above average of year
    Visited: Oct-2024
    Paper: DOI
  11. 11
    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
    4924 cites at Google Scholar
    3039% above average of year
    Visited: Sep-2024
    Paper: DOI
  12. 12
    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
    3266 cites at Google Scholar
    2906% above average of year
    Visited: Sep-2024
    Paper: DOI
  13. 13
    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
    4175 cites at Google Scholar
    2821% above average of year
    Visited: Sep-2024
    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
    5129 cites at Google Scholar
    2776% above average of year
    Visited: Sep-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
    1518 cites at Google Scholar
    2771% above average of year
    Visited: Sep-2024
    Paper: DOI
  16. 16
    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
    2246 cites at Google Scholar
    2636% above average of year
    Visited: Sep-2024
    Paper: DOI
  17. 17
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    6104 cites at Google Scholar
    2570% above average of year
    Visited: Oct-2024
    Paper: DOI
  18. 18
    Edoardo Debenedetti, Giorgio Severi, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Eric Wallace, Nicholas Carlini, and Florian Tramèr:
    Privacy Side Channels in Machine Learning Systems.
    USENIX Security Symposium, 2024
    21 cites at Google Scholar
    2498% above average of year
    Visited: Oct-2024
    Paper: DOI
  19. 19
    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
    3247 cites at Google Scholar
    2397% above average of year
    Visited: Oct-2024
    Paper: DOI
  20. 20
    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
    235 cites at Google Scholar
    2322% above average of year
    Visited: Sep-2024
    Paper: DOI
  21. 21
    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
    3786 cites at Google Scholar
    2314% above average of year
    Visited: Oct-2024
    Paper: DOI
  22. 22
    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
    528 cites at Google Scholar
    2314% above average of year
    Visited: Sep-2024
    Paper: DOI
  23. 23
    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
    3234 cites at Google Scholar
    2163% above average of year
    Visited: Oct-2024
    Paper: DOI
  24. 24
    Xinyue Shen, Yiting Qu, Michael Backes, and Yang Zhang:
    Prompt Stealing Attacks Against Text-to-Image Generation Models.
    USENIX Security Symposium, 2024
    18 cites at Google Scholar
    2127% above average of year
    Visited: Oct-2024
    Paper: DOI
  25. 25
    Gonzalo Munilla Garrido, Vivek Nair, and Dawn Song:
    SoK: Data Privacy in Virtual Reality.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2024
    18 cites at Google Scholar
    2127% above average of year
    Visited: Oct-2024
    Paper: DOI
  26. 26
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    2772 cites at Google Scholar
    2031% above average of year
    Visited: Sep-2024
    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
    3425 cites at Google Scholar
    2014% above average of year
    Visited: Oct-2024
    Paper: DOI
  28. 28
    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
    3743 cites at Google Scholar
    1989% above average of year
    Visited: Oct-2024
    Paper: DOI
  29. 29
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4078 cites at Google Scholar
    1980% above average of year
    Visited: Sep-2024
    Paper: DOI
  30. 30
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3465 cites at Google Scholar
    1971% above average of year
    Visited: Sep-2024
    Paper: DOI
  31. 31
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5567 cites at Google Scholar
    1943% above average of year
    Visited: Oct-2024
    Paper: DOI
  32. 32
    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
    3195 cites at Google Scholar
    1937% above average of year
    Visited: Oct-2024
    Paper: DOI
  33. 33
    Li Gong, Roger M. Needham, and Raphael Yahalom:
    Reasoning about Belief in Cryptographic Protocols.
    IEEE Symposium on Security and Privacy (S&P), 1990
    1051 cites at Google Scholar
    1928% above average of year
    Visited: Sep-2024
    Paper: DOI
  34. 34
    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
    2842 cites at Google Scholar
    1917% above average of year
    Visited: Sep-2024
    Paper: DOI
  35. 35
    Matthieu Meeus, Shubham Jain, Marek Rei, and Yves-Alexandre de Montjoye:
    Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models.
    USENIX Security Symposium, 2024
    16 cites at Google Scholar
    1880% above average of year
    Visited: Oct-2024
    Paper: DOI
  36. 36
    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
    4058 cites at Google Scholar
    1871% above average of year
    Visited: Oct-2024
    Paper: DOI
  37. 37
    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
    3419 cites at Google Scholar
    1807% above average of year
    Visited: Sep-2024
    Paper: DOI
  38. 38
    Alessandro Acquisti and Ralph Gross:
    Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook.
    International Symposium on Privacy Enhancing Technologies (PETS), 2006
    3389 cites at Google Scholar
    1790% above average of year
    Visited: Oct-2024
    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
    1742 cites at Google Scholar
    1784% above average of year
    Visited: Oct-2024
    Paper: DOI
  40. 40
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    1146 cites at Google Scholar
    1775% above average of year
    Visited: Sep-2024
    Paper: DOI
  41. 41
    Zengrui Liu, Umar Iqbal, and Nitesh Saxena:
    Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy?
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2024
    15 cites at Google Scholar
    1756% above average of year
    Visited: Sep-2024
    Paper: DOI
  42. 42
    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
    2604 cites at Google Scholar
    1749% above average of year
    Visited: Oct-2024
    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
    3081 cites at Google Scholar
    1741% above average of year
    Visited: Sep-2024
    Paper: DOI
  44. 44
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    3072 cites at Google Scholar
    1739% above average of year
    Visited: Sep-2024
    Paper: DOI
  45. 45
    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
    2607 cites at Google Scholar
    1724% above average of year
    Visited: Oct-2024
    Paper: DOI
  46. 46
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy (S&P), 1986
    6381 cites at Google Scholar
    1684% above average of year
    Visited: Sep-2024
    Paper: DOI
  47. 47
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    173 cites at Google Scholar
    1683% above average of year
    Visited: Sep-2024
    Paper: DOI
  48. 48
    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
    1623 cites at Google Scholar
    1656% above average of year
    Visited: Sep-2024
    Paper: DOI
  49. 49
    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
    701 cites at Google Scholar
    1655% above average of year
    Visited: Oct-2024
    Paper: DOI
  50. 50
    Chao Wang, Yue Zhang, and Zhiqiang Lin:
    RootFree Attacks: Exploiting Mobile Platform's Super Apps From Desktop.
    ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024
    14 cites at Google Scholar
    1632% above average of year
    Visited: Sep-2024
    Paper: DOI
  51. 51
    Chongzhou Fang, Ning Miao, Shaurya Srivastav, Jialin Liu, Ruoyu Zhang, Ruijie Fang, Asmita, Ryan Tsang, Najmeh Nazari, Han Wang, and Houman Homayoun:
    Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
    USENIX Security Symposium, 2024
    14 cites at Google Scholar
    1632% above average of year
    Visited: Oct-2024
    Paper: DOI
  52. 52
    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
    14 cites at Google Scholar
    1632% above average of year
    Visited: Sep-2024
    Paper: DOI
  53. 53
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    2067 cites at Google Scholar
    1630% above average of year
    Visited: Sep-2024
    Paper: DOI
  54. 54
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2391 cites at Google Scholar
    1597% above average of year
    Visited: Oct-2024
    Paper: DOI
  55. 55
    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
    371 cites at Google Scholar
    1596% above average of year
    Visited: Oct-2024
    Paper: DOI
  56. 56
    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
    164 cites at Google Scholar
    1590% above average of year
    Visited: Sep-2024
    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
    1235 cites at Google Scholar
    1590% above average of year
    Visited: Sep-2024
    Paper: DOI
  58. 58
    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
    3020 cites at Google Scholar
    1586% above average of year
    Visited: Sep-2024
    Paper: DOI
  59. 59
    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
    367 cites at Google Scholar
    1578% above average of year
    Visited: Oct-2024
    Paper: DOI
  60. 60
    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
    1526 cites at Google Scholar
    1551% above average of year
    Visited: Oct-2024
    Paper: DOI
  61. 61
    Maurice Weber, Xiaojun Xu, Bojan Karlas, Ce Zhang, and Bo Li:
    RAB: Provable Robustness Against Backdoor Attacks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    160 cites at Google Scholar
    1549% above average of year
    Visited: Sep-2024
    Paper: DOI
  62. 62
    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
    2577 cites at Google Scholar
    1543% above average of year
    Visited: Oct-2024
    Paper: DOI
  63. 63
    Aviv Yaish, Kaihua Qin, Liyi Zhou, Aviv Zohar, and Arthur Gervais:
    Speculative Denial-of-Service Attacks In Ethereum.
    USENIX Security Symposium, 2024
    13 cites at Google Scholar
    1509% above average of year
    Visited: Oct-2024
    Paper: DOI
  64. 64
    Ruisi Zhang, Shehzeen Samarah Hussain, Paarth Neekhara, and Farinaz Koushanfar:
    REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models.
    USENIX Security Symposium, 2024
    13 cites at Google Scholar
    1509% above average of year
    Visited: Oct-2024
    Paper: DOI
  65. 65
    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
    1901 cites at Google Scholar
    1491% above average of year
    Visited: Sep-2024
    Paper: DOI
  66. 66
    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
    2546 cites at Google Scholar
    1489% above average of year
    Visited: Oct-2024
    Paper: DOI
  67. 67
    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
    150 cites at Google Scholar
    1446% above average of year
    Visited: Sep-2024
    Paper: DOI
  68. 68
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    2168 cites at Google Scholar
    1417% above average of year
    Visited: Oct-2024
    Paper: DOI
  69. 69
    Haowen Chan, Adrian Perrig, and Dawn Xiaodong Song:
    Random Key Predistribution Schemes for Sensor Networks.
    IEEE Symposium on Security and Privacy (S&P), 2003
    4434 cites at Google Scholar
    1395% above average of year
    Visited: Sep-2024
    Paper: DOI
  70. 70
    Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, and Kai Chen:
    Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction.
    USENIX Security Symposium, 2024
    12 cites at Google Scholar
    1385% above average of year
    Visited: Sep-2024
    Paper: DOI
  71. 71
    Boru Chen, Yingchen Wang, Pradyumna Shome, Christopher W. Fletcher, David Kohlbrenner, Riccardo Paccagnella, and Daniel Genkin:
    GoFetch: Breaking Constant-Time Cryptographic Implementations Using Data Memory-Dependent Prefetchers.
    USENIX Security Symposium, 2024
    12 cites at Google Scholar
    1385% above average of year
    Visited: Oct-2024
    Paper: DOI
  72. 72
    Joseph A. Goguen and José Meseguer:
    Security Policies and Security Models.
    IEEE Symposium on Security and Privacy (S&P), 1982
    3126 cites at Google Scholar
    1352% above average of year
    Visited: Sep-2024
    Paper: DOI
  73. 73
    Ari Juels and Burton S. Kaliski Jr.:
    Pors: proofs of retrievability for large files.
    ACM Conference on Computer and Communications Security (CCS), 2007
    2914 cites at Google Scholar
    1316% above average of year
    Visited: Sep-2024
    Paper: DOI
  74. 74
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    2218 cites at Google Scholar
    1314% above average of year
    Visited: Sep-2024
    Paper: DOI
  75. 75
    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
    136 cites at Google Scholar
    1301% above average of year
    Visited: Oct-2024
    Paper: DOI
  76. 76
    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
    559 cites at Google Scholar
    1300% above average of year
    Visited: Oct-2024
    Paper: DOI
  77. 77
    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
    2265 cites at Google Scholar
    1298% above average of year
    Visited: Sep-2024
    Paper: DOI
  78. 78
    Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, and Yang Zhang:
    Dynamic Backdoor Attacks Against Machine Learning Models.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2022
    305 cites at Google Scholar
    1294% above average of year
    Visited: Oct-2024
    Paper: DOI
  79. 79
    Yuval Yarom and Katrina Falkner:
    FLUSH+RELOAD: A High Resolution, Low Noise, L3 Cache Side-Channel Attack.
    USENIX Security Symposium, 2014
    1964 cites at Google Scholar
    1294% above average of year
    Visited: Jul-2024
    Paper: DOI
  80. 80
    Martín Abadi, Mihai Budiu, Úlfar Erlingsson, and Jay Ligatti:
    Control-flow integrity.
    ACM Conference on Computer and Communications Security (CCS), 2005
    2608 cites at Google Scholar
    1274% above average of year
    Visited: Sep-2024
    Paper: DOI
  81. 81
    Lena Heimberger, Tobias Hennerbichler, Fredrik Meisingseth, Sebastian Ramacher, and Christian Rechberger:
    OPRFs from Isogenies: Designs and Analysis.
    ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024
    11 cites at Google Scholar
    1261% above average of year
    Visited: Sep-2024
    Paper: DOI
  82. 82
    Rishabh Khandelwal, Asmit Nayak, Paul Chung, and Kassem Fawaz:
    Unpacking Privacy Labels: A Measurement and Developer Perspective on Google's Data Safety Section.
    USENIX Security Symposium, 2024
    11 cites at Google Scholar
    1261% above average of year
    Visited: Oct-2024
    Paper: DOI
  83. 83
    Wei Ao and Vishnu Naresh Boddeti:
    AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE.
    USENIX Security Symposium, 2024
    11 cites at Google Scholar
    1261% above average of year
    Visited: Sep-2024
    Paper: DOI
  84. 84
    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
    132 cites at Google Scholar
    1260% above average of year
    Visited: Oct-2024
    Paper: DOI
  85. 85
    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
    1765 cites at Google Scholar
    1257% above average of year
    Visited: Sep-2024
    Paper: DOI
  86. 86
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2266 cites at Google Scholar
    1238% above average of year
    Visited: Oct-2024
    Paper: DOI
  87. 87
    Liyi Zhou, Xihan Xiong, Jens Ernstberger, Stefanos Chaliasos, Zhipeng Wang, Ye Wang, Kaihua Qin, Roger Wattenhofer, Dawn Song, and Arthur Gervais:
    SoK: Decentralized Finance (DeFi) Attacks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    128 cites at Google Scholar
    1219% above average of year
    Visited: Sep-2024
    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
    2137 cites at Google Scholar
    1219% above average of year
    Visited: Sep-2024
    Paper: DOI
  89. 89
    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
    2038 cites at Google Scholar
    1199% above average of year
    Visited: Sep-2024
    Paper: DOI
  90. 90
    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
    2075 cites at Google Scholar
    1195% above average of year
    Visited: Oct-2024
    Paper: DOI
  91. 91
    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
    2435 cites at Google Scholar
    1183% above average of year
    Visited: Sep-2024
    Paper: DOI
  92. 92
    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
    2014 cites at Google Scholar
    1172% above average of year
    Visited: Sep-2024
    Paper: DOI
  93. 93
    Kaihua Qin, Liyi Zhou, and Arthur Gervais:
    Quantifying Blockchain Extractable Value: How dark is the forest?
    IEEE Symposium on Security and Privacy (S&P), 2022
    274 cites at Google Scholar
    1153% above average of year
    Visited: Sep-2024
    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
    2446 cites at Google Scholar
    1147% above average of year
    Visited: Oct-2024
    Paper: DOI
  95. 95
    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
    272 cites at Google Scholar
    1143% above average of year
    Visited: Oct-2024
    Paper: DOI
  96. 96
    Alireza Kavousi, Zhipeng Wang, and Philipp Jovanovic:
    SoK: Public Randomness.
    IEEE European Symposium on Security and Privacy (EuroS&P), 2024
    10 cites at Google Scholar
    1137% above average of year
    Visited: Oct-2024
    Paper: DOI
  97. 97
    Ataberk Olgun, Yahya Can Tugrul, Nisa Bostanci, Ismail Emir Yuksel, Haocong Luo, Steve Rhyner, Abdullah Giray Yaglikçi, Geraldo F. Oliveira, and Onur Mutlu:
    ABACuS: All-Bank Activation Counters for Scalable and Low Overhead RowHammer Mitigation.
    USENIX Security Symposium, 2024
    10 cites at Google Scholar
    1137% above average of year
    Visited: Oct-2024
    Paper: DOI
  98. 98
    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
    756 cites at Google Scholar
    1137% above average of year
    Visited: Oct-2024
    Paper: DOI
  99. 99
    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
    754 cites at Google Scholar
    1134% above average of year
    Visited: Sep-2024
    Paper: DOI
  100. 100
    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
    1134 cites at Google Scholar
    1127% above average of year
    Visited: Sep-2024
    Paper: DOI

Back to security papers
Last updated: 2024-10-10 11:35:20 CEST