Boosting Model Inversion Attacks with Adversarial Examples
Authors: Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou | Published: 2023-06-24
ポイズニング
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
Authors: Mohamed Amine Ferrag, Othmane Friha, Burak Kantarci, Norbert Tihanyi, Lucas Cordeiro, Merouane Debbah, Djallel Hamouda, Muna Al-Hawawreh, Kim-Kwang Raymond Choo | Published: 2023-06-17 | Updated: 2024-02-08
Query-Free Evasion Attacks Against Machine Learning-Based Malware Detectors with Generative Adversarial Networks
Authors: Daniel Gibert, Jordi Planes, Quan Le, Giulio Zizzo | Published: 2023-06-16
Fairness and Privacy-Preserving in Federated Learning: A Survey
Authors: Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | Published: 2023-06-14 | Updated: 2023-07-14
Theoretical Foundations of Adversarially Robust Learning
Authors: Omar Montasser | Published: 2023-06-13
SRATTA : Sample Re-ATTribution Attack of Secure Aggregation in Federated Learning
Authors: Tanguy Marchand, Régis Loeb, Ulysse Marteau-Ferey, Jean Ogier du Terrail, Arthur Pignet | Published: 2023-06-13
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
Authors: Yogachandran Rahulamathavan, Charuka Herath, Xiaolan Liu, Sangarapillai Lambotharan, Carsten Maple | Published: 2023-06-08 | Updated: 2024-10-06
A Survey on Federated Learning Poisoning Attacks and Defenses
Authors: Junchuan Lianga, Rong Wang, Chaosheng Feng, Chin-Chen Chang | Published: 2023-06-06
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