litlas
ログインアカウント作成

Michael Backes

1988–2026 年に発表

464
論文数
20,474
被引用数
72
h 指数
271
i10 指数

被引用数

Michael Backes の年別被引用数1971 年: 被引用 1 件1997 年: 被引用 1 件1998 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 2 件2002 年: 被引用 13 件2003 年: 被引用 75 件2004 年: 被引用 162 件2005 年: 被引用 165 件2006 年: 被引用 212 件2007 年: 被引用 136 件2008 年: 被引用 181 件2009 年: 被引用 193 件2010 年: 被引用 209 件2011 年: 被引用 237 件2012 年: 被引用 225 件2013 年: 被引用 236 件2014 年: 被引用 262 件2015 年: 被引用 334 件2016 年: 被引用 369 件2017 年: 被引用 520 件2018 年: 被引用 685 件2019 年: 被引用 906 件2020 年: 被引用 1,006 件2021 年: 被引用 1,244 件2022 年: 被引用 1,039 件2023 年: 被引用 1,178 件2024 年: 被引用 1,693 件2025 年: 被引用 1,639 件2026 年: 被引用 616 件2027 年: 被引用 1 件1972〜1996 年は被引用が無いため表示していません1999 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 2,832 件、この内訳の 20.3%中国: 引用元論文 2,134 件、この内訳の 15.3%ドイツ: 引用元論文 1,215 件、この内訳の 8.7%イギリス: 引用元論文 798 件、この内訳の 5.7%オーストラリア: 引用元論文 531 件、この内訳の 3.8%フランス: 引用元論文 485 件、この内訳の 3.5%イタリア: 引用元論文 463 件、この内訳の 3.3%スイス: 引用元論文 409 件、この内訳の 2.9%カナダ: 引用元論文 395 件、この内訳の 2.8%日本: 引用元論文 335 件、この内訳の 2.4%インド: 引用元論文 280 件、この内訳の 2%オランダ: 引用元論文 270 件、この内訳の 2%
0%20.3%その他 27.3%

機関

分野

  • Computer Science82.9%
  • Social Sciences5.4%
  • Medicine2.3%
  • Engineering2.2%
  • Physics and Astronomy2%
  • Decision Sciences1%
  • その他4.2%

トピック

  • Advanced Malware Detection Techniques9.4%
  • Adversarial Robustness in Machine Learning6.8%
  • Cryptography and Data Security5.7%
  • Privacy-Preserving Technologies in Data5.3%
  • Security and Verification in Computing4.4%
  • Network Security and Intrusion Detection3.8%
  • その他64.6%

共著者

全論文

検索で開く
  1. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

    著者: Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, Yang Zhang - on ACM SIGSAC Conference on Computer and Communications Security, CCS 2024 被引用: 436

  2. TrustLLM: Trustworthiness in Large Language Models

    著者: Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 被引用: 410

  3. Swarm Learning for decentralized and confidential clinical machine learning

    著者: Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, Sathyanarayanan Manamohan, Saikat Mukherjee, Vishesh Garg, Ravi Sarveswara, Kristian Händler, Peter Pickkers, N. Ahmad Aziz, Sofia Ira Ktena, Florian Tran, Michael Bitzer, Stephan Ossowski, Nicolas Casadei, Christian Herr, Daniel Petersheim, Uta Behrends, Fabian Kern, Tobias Fehlmann, Philipp Schommers, Clara Lehmann, Max Augustin, Jan Rybniker, Janine Altmüller, Neha Mishra, Joana P. Bernardes, Benjamin Krämer, Lorenzo Bonaguro, Jonas Schulte-Schrepping, Elena De Domenico, Christian Siever, Michael Kraut, Milind Y. Desai, Bruno Monnet, Maria Saridaki, Charles Siegel, Anna Drews, Melanie Nuesch-Germano, Heidi Theis, Jan Heyckendorf, Stefan Schreiber, Sarah Kim-Hellmuth, COVID-19 Aachen Study (COVAS), Paul Balfanz, Thomas Eggermann, Peter Boor, Ralf Hausmann, Hannah Kuhn, Susanne Isfort, Julia Stingl, Günther Schmalzing, Christiane Kühl, Rainer Röhrig, Gernot Marx, Stefan Uhlig, Edgar Dahl, Dirk Müller‐Wieland, Michael Dreher, Nikolaus Marx, Jacob Nattermann, Dirk Skowasch, Ingo Kurth, Andreas Keller, Robert Bals, Peter Nürnberg, Olaf Rieß, Philip Rosenstiel, Mihai G. Netea, Fabian J. Theis, Sach Mukherjee, Michael Backes, Anna C. Aschenbrenner, Thomas Ulas, Deutsche COVID-19 Omics Initiative (DeCOI), Angel Angelov, Alexander Bartholomäus, Anke Becker, Daniela Bezdan, Conny Blumert, Ezio Bonifacio, Peer Bork, Boyke Bunk, Helmut Blum, Thomas Clavel, Maria Colomé‐Tatché, Markus Cornberg, Inti Alberto De La Rosa Velázquez, Andreas Diefenbach, Alexander Dilthey, Nicole Fischer, Konrad U. Förstner, Sören Franzenburg, Julia-Stefanie Frick, Gisela Gabernet, Julien Gagneur, Tina Ganzenmueller, Marie Gauder, Janina Geißert, Alexander Goesmann ほか 81 名 - Nature 2021 被引用: 880

  4. ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

    著者: Ahmed Salem, Yang Zhang, Mathias Humbert, Mario Fritz, Michael Backes - Security and Communication Networks, Secur. Commun. Networks 2021 被引用: 260

  5. When Machine Unlearning Jeopardizes Privacy

    著者: Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang - SIGSAC Conference on Computer and Communications Security, CCS 2021 被引用: 159

  6. In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT

    著者: Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang - arXiv (Cornell University), CoRR 2023 被引用: 118

  7. Dynamic Backdoor Attacks Against Machine Learning Models

    著者: Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang - IEEE 7th European Symposium on Security and Privacy (EuroS&P), EuroS&P 2022 被引用: 214

  8. JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs

    著者: Junjie Chu, Yugeng Liu, Ziqing Yang, Xinyue Shen, Michael Backes, Yang Zhang - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2025 被引用: 92

  9. Adversarial Examples for Malware Detection

    著者: Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes, Patrick D. McDaniel - Lecture notes in computer science, ESORICS (2) 2017 被引用: 553

  10. Membership Inference Attacks by Exploiting Loss Trajectory

    著者: Yiyong Liu, Zhengyu Zhao, Michael Backes, Yang Zhang - SIGSAC Conference on Computer and Communications Security, CCS 2022 被引用: 85

  11. Composite Backdoor Attacks Against Large Language Models

    著者: Hai Huang, Zhengyu Zhao, Michael Backes, Yun Shen, Yang Zhang - Findings of the Association for Computational Linguistics: NAACL 2024, NAACL-HLT (Findings) 2024 被引用: 60

  12. On the (Statistical) Detection of Adversarial Examples

    著者: Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, Michael Backes, Patrick D. McDaniel - arXiv (Cornell University), CoRR 2017 被引用: 457

  13. Fairwalk: Towards Fair Graph Embedding

    著者: Tahleen A. Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang - Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019 被引用: 157

  14. Reliable Third-Party Library Detection in Android and its Security Applications

    著者: Michael Backes, Sven Bugiel, Erik Derr - SIGSAC Conference on Computer and Communications Security, CCS 2016 被引用: 313

  15. MGTBench: Benchmarking Machine-Generated Text Detection

    著者: Xinlei He, Xinyue Shen, Zeyuan Chen, Michael Backes, Yang Zhang - on ACM SIGSAC Conference on Computer and Communications Security, CCS 2024 被引用: 71

  16. On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

    著者: Y. Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin‐Yu Chen, Bo Li, Song, Dawn, Xiangliang Zhang - ArXiv.org, CoRR 2025 被引用: 52

  17. Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification

    著者: Boyang Zhang, Yicong Tan, Yun Shen, Ahmed Salem, Michael Backes, Savvas Zannettou, Yang Zhang - Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 被引用: 51

  18. Node-Level Membership Inference Attacks Against Graph Neural Networks

    著者: Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang - arXiv (Cornell University), CoRR 2021 被引用: 82

  19. You Get Where You're Looking for: The Impact of Information Sources on Code Security

    著者: Yasemin Acar, Michael Backes, Sascha Fahl, Doowon Kim, Michelle L. Mazurek, Christian Stransky - IEEE Symposium on Security and Privacy (SP) 2016 被引用: 252

  20. Watermarking Diffusion Model

    著者: Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang - arXiv (Cornell University), CoRR 2023 被引用: 44

  21. Keep me Updated: An Empirical Study of Third-Party Library Updatability on Android

    著者: Erik Derr, Sven Bugiel, Sascha Fahl, Yasemin Acar, Michael Backes - SIGSAC Conference on Computer and Communications Security, CCS 2017 被引用: 163

  22. Membership Inference Attacks Against Text-to-image Generation Models

    著者: Yixin Wu, Ning Yu, Zheng Li, Michael Backes, Yang Zhang - arXiv (Cornell University), CoRR 2022 被引用: 55

  23. Voice Jailbreak Attacks Against GPT-4o

    著者: Xinyue Shen, Yixin Wu, Michael Backes, Yang Zhang - arXiv (Cornell University), CoRR 2024 被引用: 38

  24. Is FIDO2 the Kingslayer of User Authentication? A Comparative Usability Study of FIDO2 Passwordless Authentication

    著者: Sanam Ghorbani Lyastani, Michael Schilling, Michaela Neumayr, Michael Backes, Sven Bugiel - IEEE Symposium on Security and Privacy (SP) 2020 被引用: 96