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
    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
    372 cites at Google Scholar
    11451% above average of year
    Visited: Jan-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
    10260 cites at Google Scholar
    6749% above average of year
    Visited: Dec-2024
    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
    189 cites at Google Scholar
    5769% above average of year
    Visited: Dec-2024
    Paper: DOI
  4. 4
    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
    179 cites at Google Scholar
    5458% above average of year
    Visited: Jan-2025
    Paper: DOI
  5. 5
    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
    578 cites at Google Scholar
    4571% above average of year
    Visited: Jan-2025
    Paper: DOI
  6. 6
    Zeyang Sha, Yicong Tan, Mingjie Li, Michael Backes, and Yang Zhang:
    ZeroFake: Zero-Shot Detection of Fake Images Generated and Edited by Text-to-Image Generation Models.
    ACM Conference on Computer and Communications Security (CCS), 2024
    147 cites at Google Scholar
    4465% above average of year
    Visited: Jan-2025
    Paper: DOI
  7. 7
    Mihir Bellare and Phillip Rogaway:
    Random Oracles are Practical: A Paradigm for Designing Efficient Protocols.
    ACM Conference on Computer and Communications Security (CCS), 1993
    6707 cites at Google Scholar
    4405% above average of year
    Visited: Dec-2024
    Paper: DOI
  8. 8
    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
    7086 cites at Google Scholar
    4213% above average of year
    Visited: Jan-2025
    Paper: DOI
  9. 9
    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
    7308 cites at Google Scholar
    3819% above average of year
    Visited: Dec-2024
    Paper: DOI
  10. 10
    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
    1721 cites at Google Scholar
    3769% above average of year
    Visited: Nov-2024
    Paper: DOI
  11. 11
    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
    5160 cites at Google Scholar
    3345% above average of year
    Visited: Dec-2024
    Paper: DOI
  12. 12
    John Bethencourt, Amit Sahai, and Brent Waters:
    Ciphertext-Policy Attribute-Based Encryption.
    IEEE Symposium on Security and Privacy (S&P), 2007
    7105 cites at Google Scholar
    3279% above average of year
    Visited: Jan-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
    3200 cites at Google Scholar
    3098% above average of year
    Visited: Dec-2024
    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
    3017% above average of year
    Visited: Dec-2024
    Paper: DOI
  15. 15
    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
    3284 cites at Google Scholar
    2944% above average of year
    Visited: Jan-2025
    Paper: DOI
  16. 16
    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
    5210 cites at Google Scholar
    2911% above average of year
    Visited: Dec-2024
    Paper: DOI
  17. 17
    Ruijie Meng, Martin Mirchev, Marcel Böhme, and Abhik Roychoudhury:
    Large Language Model guided Protocol Fuzzing.
    Network and Distributed System Security Symposium (NDSS), 2024
    96 cites at Google Scholar
    2881% above average of year
    Visited: Jan-2025
    Paper: DOI
  18. 18
    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
    4389 cites at Google Scholar
    2830% above average of year
    Visited: Dec-2024
    Paper: DOI
  19. 19
    D. F. C. Brewer and Michael J. Nash:
    The Chinese Wall Security Policy.
    IEEE Symposium on Security and Privacy (S&P), 1989
    1526 cites at Google Scholar
    2792% above average of year
    Visited: Jan-2025
    Paper: DOI
  20. 20
    Roger Dingledine, Nick Mathewson, and Paul F. Syverson:
    Tor: The Second-Generation Onion Router.
    USENIX Security Symposium, 2004
    6211 cites at Google Scholar
    2581% above average of year
    Visited: Jan-2025
    Paper: DOI
  21. 21
    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
    668 cites at Google Scholar
    2499% above average of year
    Visited: Dec-2024
    Paper: DOI
  22. 22
    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
    2474% above average of year
    Visited: Dec-2024
    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
    2264 cites at Google Scholar
    2384% above average of year
    Visited: Jan-2025
    Paper: DOI
  24. 24
    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
    302 cites at Google Scholar
    2341% above average of year
    Visited: Jan-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
    3870 cites at Google Scholar
    2256% above average of year
    Visited: Nov-2024
    Paper: DOI
  26. 26
    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
    2249% above average of year
    Visited: Jan-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
    3522 cites at Google Scholar
    2047% above average of year
    Visited: Jan-2025
    Paper: DOI
  28. 28
    Reza Shokri and Vitaly Shmatikov:
    Privacy-Preserving Deep Learning.
    ACM Conference on Computer and Communications Security (CCS), 2015
    2902 cites at Google Scholar
    2046% above average of year
    Visited: Dec-2024
    Paper: DOI
  29. 29
    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
    3809 cites at Google Scholar
    2004% above average of year
    Visited: Dec-2024
    Paper: DOI
  30. 30
    Vern Paxson:
    Bro: A System for Detecting Network Intruders in Real-Time.
    USENIX Security Symposium, 1998
    4116 cites at Google Scholar
    1988% above average of year
    Visited: Jan-2025
    Paper: DOI
  31. 31
    Matt Blaze, Joan Feigenbaum, and Jack Lacy:
    Decentralized Trust Management.
    IEEE Symposium on Security and Privacy (S&P), 1996
    3471 cites at Google Scholar
    1975% above average of year
    Visited: Dec-2024
    Paper: DOI
  32. 32
    Laurent Eschenauer and Virgil D. Gligor:
    A key-management scheme for distributed sensor networks.
    ACM Conference on Computer and Communications Security (CCS), 2002
    5586 cites at Google Scholar
    1954% above average of year
    Visited: Jan-2025
    Paper: DOI
  33. 33
    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
    2907 cites at Google Scholar
    1915% above average of year
    Visited: Dec-2024
    Paper: DOI
  34. 34
    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
    3268 cites at Google Scholar
    1889% above average of year
    Visited: Dec-2024
    Paper: DOI
  35. 35
    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
    1849% above average of year
    Visited: Dec-2024
    Paper: DOI
  36. 36
    Minghong Fang, Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong:
    Local Model Poisoning Attacks to Byzantine-Robust Federated Learning.
    USENIX Security Symposium, 2020
    1296 cites at Google Scholar
    1848% above average of year
    Visited: Jan-2025
    Paper: DOI
  37. 37
    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
    866 cites at Google Scholar
    1847% above average of year
    Visited: Dec-2024
    Paper: DOI
  38. 38
    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
    61 cites at Google Scholar
    1794% above average of year
    Visited: Dec-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
    1893 cites at Google Scholar
    1792% above average of year
    Visited: Jan-2025
    Paper: DOI
  40. 40
    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
    1765% above average of year
    Visited: Jan-2025
    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
    3467 cites at Google Scholar
    1759% above average of year
    Visited: Dec-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
    2678 cites at Google Scholar
    1757% above average of year
    Visited: Dec-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
    3105 cites at Google Scholar
    1756% above average of year
    Visited: Jan-2025
    Paper: DOI
  44. 44
    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
    2752 cites at Google Scholar
    1737% above average of year
    Visited: Jan-2025
    Paper: DOI
  45. 45
    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
    1736% above average of year
    Visited: Dec-2024
    Paper: DOI
  46. 46
    Yajin Zhou and Xuxian Jiang:
    Dissecting Android Malware: Characterization and Evolution.
    IEEE Symposium on Security and Privacy (S&P), 2012
    3092 cites at Google Scholar
    1731% above average of year
    Visited: Nov-2024
    Paper: DOI
  47. 47
    Weilin Xu, David Evans, and Yanjun Qi:
    Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks.
    Network and Distributed System Security Symposium (NDSS), 2018
    2190 cites at Google Scholar
    1646% above average of year
    Visited: Jan-2025
    Paper: DOI
  48. 48
    Úlfar Erlingsson, Vasyl Pihur, and Aleksandra Korolova:
    RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response.
    ACM Conference on Computer and Communications Security (CCS), 2014
    2502 cites at Google Scholar
    1635% above average of year
    Visited: Jan-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
    1715 cites at Google Scholar
    1614% above average of year
    Visited: Dec-2024
    Paper: DOI
  50. 50
    Dorothy E. Denning:
    An Intrusion-Detection Model.
    IEEE Symposium on Security and Privacy (S&P), 1986
    6468 cites at Google Scholar
    1597% above average of year
    Visited: Jan-2025
    Paper: DOI
  51. 51
    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
    3060 cites at Google Scholar
    1590% above average of year
    Visited: Jan-2025
    Paper: DOI
  52. 52
    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
    1589% above average of year
    Visited: Dec-2024
    Paper: DOI
  53. 53
    Jeffrey O. Kephart and Steve R. White:
    Directed-Graph Epidemiological Models of Computer Viruses.
    IEEE Symposium on Security and Privacy (S&P), 1991
    1242 cites at Google Scholar
    1578% above average of year
    Visited: Dec-2024
    Paper: DOI
  54. 54
    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
    1677 cites at Google Scholar
    1576% above average of year
    Visited: Jan-2025
    Paper: DOI
  55. 55
    Linyi Li, Tao Xie, and Bo Li:
    SoK: Certified Robustness for Deep Neural Networks.
    IEEE Symposium on Security and Privacy (S&P), 2023
    202 cites at Google Scholar
    1532% above average of year
    Visited: Jan-2025
    Paper: DOI
  56. 56
    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
    2669 cites at Google Scholar
    1525% above average of year
    Visited: Dec-2024
    Paper: DOI
  57. 57
    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
    415 cites at Google Scholar
    1515% above average of year
    Visited: Jan-2025
    Paper: DOI
  58. 58
    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
    1995 cites at Google Scholar
    1490% above average of year
    Visited: Jan-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
    2592 cites at Google Scholar
    1474% above average of year
    Visited: Dec-2024
    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
    4453 cites at Google Scholar
    1462% above average of year
    Visited: Dec-2024
    Paper: DOI
  61. 61
    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
    191 cites at Google Scholar
    1444% above average of year
    Visited: Dec-2024
    Paper: DOI
  62. 62
    Payman Mohassel and Yupeng Zhang:
    SecureML: A System for Scalable Privacy-Preserving Machine Learning.
    IEEE Symposium on Security and Privacy (S&P), 2017
    2279 cites at Google Scholar
    1421% above average of year
    Visited: Jan-2025
    Paper: DOI
  63. 63
    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
    48 cites at Google Scholar
    1390% above average of year
    Visited: Jan-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
    3149 cites at Google Scholar
    1380% above average of year
    Visited: Dec-2024
    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
    183 cites at Google Scholar
    1379% above average of year
    Visited: Dec-2024
    Paper: DOI
  66. 66
    Phillip A. Porras and Richard A. Kemmerer:
    Penetration state transition analysis: A rule-based intrusion detection approach.
    Annual Computer Security Applications Conference (ACSAC), 1992
    1321 cites at Google Scholar
    1350% above average of year
    Visited: Jan-2025
    Paper: DOI
  67. 67
    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
    177 cites at Google Scholar
    1330% above average of year
    Visited: Nov-2024
    Paper: DOI
  68. 68
    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
    177 cites at Google Scholar
    1330% above average of year
    Visited: Nov-2024
    Paper: DOI
  69. 69
    Florian Tramèr, Fan Zhang, Ari Juels, Michael K. Reiter, and Thomas Ristenpart:
    Stealing Machine Learning Models via Prediction APIs.
    USENIX Security Symposium, 2016
    2319 cites at Google Scholar
    1312% above average of year
    Visited: Dec-2024
    Paper: DOI
  70. 70
    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
    626 cites at Google Scholar
    1307% above average of year
    Visited: Dec-2024
    Paper: DOI
  71. 71
    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
    1305% above average of year
    Visited: Dec-2024
    Paper: DOI
  72. 72
    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
    2296 cites at Google Scholar
    1281% above average of year
    Visited: Nov-2024
    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
    2652 cites at Google Scholar
    1268% above average of year
    Visited: Dec-2024
    Paper: DOI
  74. 74
    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
    1262% above average of year
    Visited: Jul-2024
    Paper: DOI
  75. 75
    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
    168 cites at Google Scholar
    1258% above average of year
    Visited: Jan-2025
    Paper: DOI
  76. 76
    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
    1827 cites at Google Scholar
    1251% above average of year
    Visited: Dec-2024
    Paper: DOI
  77. 77
    Ari Juels and Martin Wattenberg:
    A Fuzzy Commitment Scheme.
    ACM Conference on Computer and Communications Security (CCS), 1999
    2273 cites at Google Scholar
    1231% above average of year
    Visited: Dec-2024
    Paper: DOI
  78. 78
    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
    163 cites at Google Scholar
    1217% above average of year
    Visited: Dec-2024
    Paper: DOI
  79. 79
    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
    338 cites at Google Scholar
    1215% above average of year
    Visited: Jan-2025
    Paper: DOI
  80. 80
    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
    2162 cites at Google Scholar
    1213% above average of year
    Visited: Dec-2024
    Paper: DOI
  81. 81
    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
    870 cites at Google Scholar
    1208% above average of year
    Visited: Jan-2025
    Paper: DOI
  82. 82
    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
    2134 cites at Google Scholar
    1199% above average of year
    Visited: Dec-2024
    Paper: DOI
  83. 83
    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
    2152 cites at Google Scholar
    1195% above average of year
    Visited: Dec-2024
    Paper: DOI
  84. 84
    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
    2454 cites at Google Scholar
    1166% above average of year
    Visited: Dec-2024
    Paper: DOI
  85. 85
    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
    2022 cites at Google Scholar
    1158% above average of year
    Visited: Dec-2024
    Paper: DOI
  86. 86
    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
    1254 cites at Google Scholar
    1153% above average of year
    Visited: Jan-2025
    Paper: DOI
  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
    155 cites at Google Scholar
    1153% above average of year
    Visited: Dec-2024
    Paper: DOI
  88. 88
    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
    2458 cites at Google Scholar
    1147% above average of year
    Visited: Nov-2024
    Paper: DOI
  89. 89
    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
    825 cites at Google Scholar
    1140% above average of year
    Visited: Dec-2024
    Paper: DOI
  90. 90
    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
    2084 cites at Google Scholar
    1120% above average of year
    Visited: Dec-2024
    Paper: DOI
  91. 91
    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.
    ACM Conference on Computer and Communications Security (CCS), 2016
    2002 cites at Google Scholar
    1119% above average of year
    Visited: Dec-2024
    Paper: DOI
  92. 92
    Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller, and Sebastian Steinhorst:
    Janus: Fast Privacy-Preserving Data Provenance For TLS.
    Proceedings on Privacy Enhancing Technologies (PoPETS), 2025
    13 cites at Google Scholar
    1115% above average of year
    Visited: Jan-2025
    Paper: DOI
  93. 93
    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
    312 cites at Google Scholar
    1114% above average of year
    Visited: Jan-2025
    Paper: DOI
  94. 94
    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
    1810 cites at Google Scholar
    1108% above average of year
    Visited: Jan-2025
    Paper: DOI
  95. 95
    Alma Whitten and J. Doug Tygar:
    Why Johnny Can't Encrypt: A Usability Evaluation of PGP 5.0.
    USENIX Security Symposium, 1999
    2050 cites at Google Scholar
    1100% above average of year
    Visited: Dec-2024
    Paper: DOI
  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
    1496 cites at Google Scholar
    1093% above average of year
    Visited: Dec-2024
    Paper: DOI
  97. 97
    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
    304 cites at Google Scholar
    1083% above average of year
    Visited: Dec-2024
    Paper: DOI
  98. 98
    Xinlei He, Savvas Zannettou, Yun Shen, and Yang Zhang:
    You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content.
    IEEE Symposium on Security and Privacy (S&P), 2024
    38 cites at Google Scholar
    1080% above average of year
    Visited: Dec-2024
    Paper: DOI
  99. 99
    Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, and Robert Sim:
    TrojanPuzzle: Covertly Poisoning Code-Suggestion Models.
    IEEE Symposium on Security and Privacy (S&P), 2024
    38 cites at Google Scholar
    1080% above average of year
    Visited: Jan-2025
    Paper: DOI
  100. 100
    Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, and Thomas Schneider:
    FLAME: Taming Backdoors in Federated Learning.
    USENIX Security Symposium, 2022
    302 cites at Google Scholar
    1075% above average of year
    Visited: Jan-2025
    Paper: DOI

Back to security papers
Last updated: 2025-01-08 09:15:51 CET