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
Human-imperceptible, Machine-recognizable Images
Authors: Fusheng Hao, Fengxiang He, Yikai Wang, Fuxiang Wu, Jing Zhang, Jun Cheng, Dacheng Tao | Published: 2023-06-06
Machine Unlearning: A Survey
Authors: Heng Xu, Tianqing Zhu, Lefeng Zhang, Wanlei Zhou, Philip S. Yu | Published: 2023-06-06
Adversarial attacks and defenses in explainable artificial intelligence: A survey
Authors: Hubert Baniecki, Przemyslaw Biecek | Published: 2023-06-06 | Updated: 2024-02-13
A Survey on Federated Learning Poisoning Attacks and Defenses
Authors: Junchuan Lianga, Rong Wang, Chaosheng Feng, Chin-Chen Chang | 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
A Privacy-Preserving Federated Learning Approach for Kernel methods
Authors: Anika Hannemann, Ali Burak Ünal, Arjhun Swaminathan, Erik Buchmann, Mete Akgün | Published: 2023-06-05
Building Resilient SMEs: Harnessing Large Language Models for Cyber Security in Australia
Authors: Benjamin Kereopa-Yorke | Published: 2023-06-05
Poisoning Network Flow Classifiers
Authors: Giorgio Severi, Simona Boboila, Alina Oprea, John Holodnak, Kendra Kratkiewicz, Jason Matterer | Published: 2023-06-02
Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2023-06-02 | Updated: 2023-06-23