Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy
Authors: Yichuan Shi, Olivera Kotevska, Viktor Reshniak, Abhishek Singh, Ramesh Raskar | Published: 2024-05-16
攻撃手法
Adversarial Machine Learning Threats to Spacecraft
Authors: Rajiv Thummala, Shristi Sharma, Matteo Calabrese, Gregory Falco | Published: 2024-05-14
Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
Authors: Xikang Yang, Xuehai Tang, Songlin Hu, Jizhong Han | Published: 2024-05-09
Revisiting Character-level Adversarial Attacks for Language Models
Authors: Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos, Volkan Cevher | Published: 2024-05-07 | Updated: 2024-09-04
Boosting Jailbreak Attack with Momentum
Authors: Yihao Zhang, Zeming Wei | Published: 2024-05-02
Attacks on Third-Party APIs of Large Language Models
Authors: Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane | Published: 2024-04-24
MISLEAD: Manipulating Importance of Selected features for Learning Epsilon in Evasion Attack Deception
Authors: Vidit Khazanchi, Pavan Kulkarni, Yuvaraj Govindarajulu, Manojkumar Parmar | Published: 2024-04-24 | Updated: 2024-05-02
Black-box Adversarial Transferability: An Empirical Study in Cybersecurity Perspective
Authors: Khushnaseeb Roshan, Aasim Zafar | Published: 2024-04-15
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
Authors: Bibek Upadhayay, Vahid Behzadan | Published: 2024-04-09
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Authors: Emre Ozfatura, Kerem Ozfatura, Alptekin Kupcu, Deniz Gunduz | Published: 2024-04-09