MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation
Authors: Weisen Jiang, Sinno Jialin Pan | Published: 2025-10-09
Prompt Injection
Proactive defense against LLM Jailbreak
Authors: Weiliang Zhao, Jinjun Peng, Daniel Ben-Levi, Zhou Yu, Junfeng Yang | Published: 2025-10-06
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs
Authors: Shuai Zhao, Xinyi Wu, Shiqian Zhao, Xiaobao Wu, Zhongliang Guo, Yanhao Jia, Anh Tuan Luu | Published: 2025-10-06
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
Authors: Javad Rafiei Asl, Sidhant Narula, Mohammad Ghasemigol, Eduardo Blanco, Daniel Takabi | Published: 2025-10-03 | Updated: 2025-10-21
FalseCrashReducer: Mitigating False Positive Crashes in OSS-Fuzz-Gen Using Agentic AI
Authors: Paschal C. Amusuo, Dongge Liu, Ricardo Andres Calvo Mendez, Jonathan Metzman, Oliver Chang, James C. Davis | Published: 2025-10-02
Bypassing Prompt Guards in Production with Controlled-Release Prompting
Authors: Jaiden Fairoze, Sanjam Garg, Keewoo Lee, Mingyuan Wang | Published: 2025-10-02
Fingerprinting LLMs via Prompt Injection
Authors: Yuepeng Hu, Zhengyuan Jiang, Mengyuan Li, Osama Ahmed, Zhicong Huang, Cheng Hong, Neil Gong | Published: 2025-09-29 | Updated: 2025-10-01
MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction
Authors: Sepideh Abedini, Shubhankar Mohapatra, D. B. Emerson, Masoumeh Shafieinejad, Jesse C. Cresswell, Xi He | Published: 2025-09-27 | Updated: 2025-09-30
RLCracker: Exposing the Vulnerability of LLM Watermarks with Adaptive RL Attacks
Authors: Hanbo Huang, Yiran Zhang, Hao Zheng, Xuan Gong, Yihan Li, Lin Liu, Shiyu Liang | Published: 2025-09-25
Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
Authors: Wenkai Guo, Xuefeng Liu, Haolin Wang, Jianwei Niu, Shaojie Tang, Jing Yuan | Published: 2025-09-25