Visual Adversarial Examples Jailbreak Aligned Large Language Models
Authors: Xiangyu Qi, Kaixuan Huang, Ashwinee Panda, Peter Henderson, Mengdi Wang, Prateek Mittal | Published: 2023-06-22 | Updated: 2023-08-16
敵対的攻撃
Extracting Cloud-based Model with Prior Knowledge
Authors: Shiqian Zhao, Kangjie Chen, Meng Hao, Jian Zhang, Guowen Xu, Hongwei Li, Tianwei Zhang | Published: 2023-06-07 | Updated: 2023-06-13
Exploring Model Dynamics for Accumulative Poisoning Discovery
Authors: Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han | Published: 2023-06-06
Evading Black-box Classifiers Without Breaking Eggs
Authors: Edoardo Debenedetti, Nicholas Carlini, Florian Tramèr | Published: 2023-06-05 | Updated: 2024-02-14
Poisoning Network Flow Classifiers
Authors: Giorgio Severi, Simona Boboila, Alina Oprea, John Holodnak, Kendra Kratkiewicz, Jason Matterer | Published: 2023-06-02
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models
Authors: Zonghan Yang, Tianyu Pang, Yang Liu | Published: 2023-06-02
Adaptive Attractors: A Defense Strategy against ML Adversarial Collusion Attacks
Authors: Jiyi Zhang, Han Fang, Ee-Chien Chang | Published: 2023-06-02
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach
Authors: Mohammed Alkhowaiter, Hisham Kholidy, Mnassar Alyami, Abdulmajeed Alghamdi, Cliff Zou | Published: 2023-06-01
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Authors: Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung | Published: 2023-05-31
Robust Lipschitz Bandits to Adversarial Corruptions
Authors: Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2023-05-29 | Updated: 2023-10-08