COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
Authors: Junyu Wang, Changjia Zhu, Yuanbo Zhou, Lingyao Li, Xu He, Junjie Xiong | Published: 2025-12-02
Model Extraction Attack
PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
Authors: Haohua Duan, Liyao Xiang, Xin Zhang | Published: 2025-10-30
NetEcho: From Real-World Streaming Side-Channels to Full LLM Conversation Recovery
Authors: Zheng Zhang, Guanlong Wu, Sen Deng, Shuai Wang, Yinqian Zhang | Published: 2025-10-29
Securing AI Agent Execution
Authors: Christoph Bühler, Matteo Biagiola, Luca Di Grazia, Guido Salvaneschi | Published: 2025-10-24 | Updated: 2025-10-29
A Hard-Label Black-Box Evasion Attack against ML-based Malicious Traffic Detection Systems
Authors: Zixuan Liu, Yi Zhao, Zhuotao Liu, Qi Li, Chuanpu Fu, Guangmeng Zhou, Ke Xu | Published: 2025-10-16
Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs
Authors: Marcin Chrapek, Marcin Copik, Etienne Mettaz, Torsten Hoefler | Published: 2025-09-23
MER-Inspector: Assessing model extraction risks from an attack-agnostic perspective
Authors: Xinwei Zhang, Haibo Hu, Qingqing Ye, Li Bai, Huadi Zheng | Published: 2025-09-23
Time-Constrained Intelligent Adversaries for Automation Vulnerability Testing: A Multi-Robot Patrol Case Study
Authors: James C. Ward, Alex Bott, Connor York, Edmund R. Hunt | Published: 2025-09-15
When Secure Isn’t: Assessing the Security of Machine Learning Model Sharing
Authors: Gabriele Digregorio, Marco Di Gennaro, Stefano Zanero, Stefano Longari, Michele Carminati | Published: 2025-09-08
An Automated, Scalable Machine Learning Model Inversion Assessment Pipeline
Authors: Tyler Shumaker, Jessica Carpenter, David Saranchak, Nathaniel D. Bastian | Published: 2025-09-04