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Somesh Jha

1992–2026 年に発表

323
論文数
32,118
被引用数
78
h 指数
205
i10 指数

被引用数

Somesh Jha の年別被引用数1986 年: 被引用 2 件1990 年: 被引用 1 件1992 年: 被引用 1 件1993 年: 被引用 12 件1994 年: 被引用 8 件1995 年: 被引用 29 件1996 年: 被引用 41 件1997 年: 被引用 55 件1998 年: 被引用 54 件1999 年: 被引用 78 件2000 年: 被引用 90 件2001 年: 被引用 114 件2002 年: 被引用 149 件2003 年: 被引用 227 件2004 年: 被引用 297 件2005 年: 被引用 392 件2006 年: 被引用 504 件2007 年: 被引用 528 件2008 年: 被引用 597 件2009 年: 被引用 584 件2010 年: 被引用 590 件2011 年: 被引用 558 件2012 年: 被引用 563 件2013 年: 被引用 618 件2014 年: 被引用 675 件2015 年: 被引用 638 件2016 年: 被引用 687 件2017 年: 被引用 906 件2018 年: 被引用 1,226 件2019 年: 被引用 1,480 件2020 年: 被引用 1,786 件2021 年: 被引用 1,870 件2022 年: 被引用 1,436 件2023 年: 被引用 1,418 件2024 年: 被引用 1,394 件2025 年: 被引用 1,237 件2026 年: 被引用 416 件2027 年: 被引用 1 件1987〜1989 年は被引用が無いため表示していません1991 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 5,943 件、この内訳の 27.8%中国: 引用元論文 3,373 件、この内訳の 15.8%ドイツ: 引用元論文 1,234 件、この内訳の 5.8%イギリス: 引用元論文 1,096 件、この内訳の 5.1%フランス: 引用元論文 763 件、この内訳の 3.6%カナダ: 引用元論文 739 件、この内訳の 3.4%イタリア: 引用元論文 712 件、この内訳の 3.3%オーストラリア: 引用元論文 669 件、この内訳の 3.1%インド: 引用元論文 533 件、この内訳の 2.5%日本: 引用元論文 506 件、この内訳の 2.4%シンガポール: 引用元論文 462 件、この内訳の 2.1%韓国: 引用元論文 448 件、この内訳の 2.1%
0%27.8%その他 23%

機関

分野

  • Computer Science91.8%
  • Engineering2.8%
  • Social Sciences1.6%
  • Decision Sciences0.8%
  • Biochemistry, Genetics and Molecular Biology0.6%
  • Medicine0.6%
  • その他1.8%

トピック

  • Advanced Malware Detection Techniques9%
  • Adversarial Robustness in Machine Learning8.7%
  • Network Security and Intrusion Detection6.8%
  • Privacy-Preserving Technologies in Data5.5%
  • Formal Methods in Verification5.3%
  • Software Testing and Debugging Techniques4.8%
  • その他59.9%

共著者

全論文

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  1. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

    著者: Matt Fredrikson, Somesh Jha, Thomas Ristenpart - SIGSAC Conference on Computer and Communications Security, CCS 2015 被引用: 2,788

  2. The Limitations of Deep Learning in Adversarial Settings

    著者: Nicolas Papernot, Patrick D. McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, Ananthram Swami - IEEE European Symposium on Security and Privacy (EuroS&P), EuroS&P 2016 被引用: 3,920

  3. Counterexample-Guided Abstraction Refinement

    著者: Edmund M. Clarke, Orna Grumberg, Somesh Jha, Yuan Lu, Helmut Veith - Lecture notes in computer science, CAV 2000 被引用: 1,678

  4. AutoDAN-Turbo: A Lifelong Agent for Strategy Self-Exploration to Jailbreak LLMs

    著者: Xiaogeng Liu, Peiran Li, G. Edward Suh, Yevgeniy Vorobeychik, Zhuoqing Mao, Somesh Jha, Patrick McDaniel, Huan Sun, Bo Li, Chaowei Xiao - ICLR 2025 被引用: 198

  5. Privacy at Scale: Local Differential Privacy in Practice

    著者: Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, Tianhao Wang - Conference on Management of Data, SIGMOD Conference 2018 被引用: 238

  6. A New Era in LLM Security: Exploring Security Concerns in Real-World LLM-based Systems

    著者: Fangzhou Wu, Ning Zhang, Somesh Jha, Patrick D. McDaniel, Chaowei Xiao - arXiv (Cornell University), CoRR 2024 被引用: 80

  7. Automated Generation and Analysis of Attack Graphs

    著者: Oleg Sheyner, Joshua W. Haines, Somesh Jha, Richard Lippmann, Jeannette M. Wing - Proceedings 2002 IEEE Symposium on Security and Privacy, S&P 2002 被引用: 1,286

  8. The Unintended Consequences of Overfitting: Training Data Inference Attacks

    著者: Samuel Yeom, Irene Giacomelli, Matt Fredrikson, Somesh Jha - IEEE 31st Computer Security Foundations Symposium (CSF) 2018 被引用: 904

  9. Counterexample-guided abstraction refinement for symbolic model checking

    著者: Edmund M. Clarke, Orna Grumberg, Somesh Jha, Yuan Lu, Helmut Veith - Journal of the ACM, J. ACM 2003 被引用: 991

  10. Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples

    著者: Nicolas Papernot, Patrick D. McDaniel, Ian J. Goodfellow, Somesh Jha, Z. Berkay Celik, Ananthram Swami - on Asia Conference on Computer and Communications Security, AsiaCCS 2017 被引用: 3,484

  11. Locally Differentially Private Frequent Itemset Mining

    著者: Tianhao Wang, Ninghui Li, Somesh Jha - IEEE Symposium on Security and Privacy (SP) 2018 被引用: 204

  12. SoK: Watermarking for AI-Generated Content

    著者: Xuandong Zhao, Sam Gunn, Miranda Christ, Jaiden Fairoze, Andrés Fábrega, Nicholas Carlini, Sanjam Garg, Sanghyun Hong, Milad Nasr, Florian Tramèr, Somesh Jha, Lei Li, Yu-Xiang Wang, Dawn Song - IEEE Symposium on Security and Privacy (SP) 2025 被引用: 45

  13. Identifying and Mitigating the Security Risks of Generative AI

    著者: Clark W. Barrett, Brad Boyd, Elie Bursztein, Nicholas Carlini, Brad Chen, Jihye Choi, Amrita Roy Chowdhury, Mihai Christodorescu, Anupam Datta, Soheil Feizi, Kathleen Fisher, Tatsunori Hashimoto, Dan Hendrycks, Somesh Jha, Daniel Kang, Florian Kerschbaum, Eric Mitchell, John C. Mitchell, Zulfikar Ramzan, Khawaja Shams, Dawn Song, Ankur Taly, Diyi Yang - Foundations and Trends® in Privacy and Security, Found. Trends Priv. Secur. 2023 被引用: 46

  14. Semantic Robustness of Models of Source Code

    著者: Jordan Henkel, Goutham Ramakrishnan, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas W. Reps - IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2022 被引用: 77

  15. MCI : Modeling-based Causality Inference in Audit Logging for Attack Investigation

    著者: Yonghwi Kwon, Fei Wang, Weihang Wang, Kyu Hyung Lee, Wen-Chuan Lee, Shiqing Ma, Xiangyu Zhang, Dongyan Xu, Somesh Jha, Gabriela F. Ciocarlie, Ashish Gehani, Vinod Yegneswaran - Proceedings 2018 Network and Distributed System Security Symposium, NDSS 2018 被引用: 115

  16. Publicly Detectable Watermarking for Language Models

    著者: Jaiden Fairoze, Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Mingyuan Wang - IACR Communications in Cryptology, IACR Commun. Cryptol. 2023 被引用: 36

  17. PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails

    著者: Neal Mangaokar, Ashish Hooda, Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, Atul Prakash - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 被引用: 35

  18. ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks

    著者: Zhichuang Sun, Ruimin Sun, Changming Liu, Amrita Roy Chowdhury, Long Lu, Somesh Jha - IEEE Symposium on Security and Privacy (SP) 2023 被引用: 39

  19. Experimenting with Zero-Knowledge Proofs of Training

    著者: Sanjam Garg, Aarushi Goel, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody, Guru-Vamsi Policharla, Mingyuan Wang - SIGSAC Conference on Computer and Communications Security, CCS 2023 被引用: 35

  20. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks

    著者: Nicolas Papernot, Patrick D. McDaniel, Xi Wu, Somesh Jha, Ananthram Swami - IEEE Symposium on Security and Privacy (SP) 2016 被引用: 304

  21. TRACE: Enterprise-Wide Provenance Tracking for Real-Time APT Detection

    著者: Hassaan Irshad, Gabriela F. Ciocarlie, Ashish Gehani, Vinod Yegneswaran, Kyu Hyung Lee, Jignesh M. Patel, Somesh Jha, Yonghwi Kwon, Dongyan Xu, Xiangyu Zhang - IEEE Transactions on Information Forensics and Security, IEEE Trans. Inf. Forensics Secur. 2021 被引用: 62

  22. Answering Multi-Dimensional Analytical Queries under Local Differential Privacy

    著者: Tianhao Wang, Bolin Ding, Jingren Zhou, Cheng Hong, Zhicong Huang, Ninghui Li, Somesh Jha - Conference on Management of Data, SIGMOD Conference 2019 被引用: 94

  23. Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing

    著者: Matthew Fredrikson, Eric Lantz, Somesh Jha, Simon M. Lin, David Page, Thomas Ristenpart - USENIX Security Symposium 2014 被引用: 568

  24. Cimplifier: automatically debloating containers

    著者: Vaibhav Rastogi, Drew Davidson, Lorenzo De Carli, Somesh Jha, Patrick D. McDaniel - Joint Meeting on Foundations of Software Engineering, ESEC/SIGSOFT FSE 2017 被引用: 82