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
PassGPT: Password Modeling and (Guided) Generation with Large Language Models
Authors: Javier Rando, Fernando Perez-Cruz, Briland Hitaj | Published: 2023-06-02 | Updated: 2023-06-14
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
FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking
Authors: Junchuan Liang, Rong Wang | Published: 2023-06-02