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
敵対的攻撃
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
On Evaluating Adversarial Robustness of Large Vision-Language Models
Authors: Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin | Published: 2023-05-26 | Updated: 2023-10-29
Investigating Adversarial Vulnerability and Implicit Bias through Frequency Analysis
Authors: Lorenzo Basile, Nikos Karantzas, Alberto D'Onofrio, Luca Bortolussi, Alex Rodriguez, Fabio Anselmi | Published: 2023-05-24 | Updated: 2024-07-17