Refusing Safe Prompts for Multi-modal Large Language Models
Authors: Zedian Shao, Hongbin Liu, Yuepeng Hu, Neil Zhenqiang Gong | Published: 2024-07-12 | Updated: 2024-09-05
Evaluation Method
MALT Powers Up Adversarial Attacks
Authors: Odelia Melamed, Gilad Yehudai, Adi Shamir | Published: 2024-07-02
Treatment of Statistical Estimation Problems in Randomized Smoothing for Adversarial Robustness
Authors: Vaclav Voracek | Published: 2024-06-25 | Updated: 2025-01-20
The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI
Authors: Christopher Burger, Charles Walter, Thai Le | Published: 2024-06-22 | Updated: 2025-01-17
MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models
Authors: Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang | Published: 2024-06-11 | Updated: 2024-06-13
Ollabench: Evaluating LLMs’ Reasoning for Human-centric Interdependent Cybersecurity
Authors: Tam n. Nguyen | Published: 2024-06-11
Robust Distribution Learning with Local and Global Adversarial Corruptions
Authors: Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee | Published: 2024-06-10 | Updated: 2024-06-24
Auditing Differential Privacy Guarantees Using Density Estimation
Authors: Antti Koskela, Jafar Mohammadi | Published: 2024-06-07 | Updated: 2024-10-11
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Authors: Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran | Published: 2024-05-31 | Updated: 2024-06-05
Revisit, Extend, and Enhance Hessian-Free Influence Functions
Authors: Ziao Yang, Han Yue, Jian Chen, Hongfu Liu | Published: 2024-05-25 | Updated: 2024-10-20