Adversarial Transfer Attacks With Unknown Data and Class Overlap
Authors: Luke E. Richards, André Nguyen, Ryan Capps, Steven Forsythe, Cynthia Matuszek, Edward Raff | Published: 2021-09-23 | Updated: 2021-09-24
ポイズニング
SoK: Machine Learning Governance
Authors: Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot | Published: 2021-09-20
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Authors: Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo | Published: 2021-09-08
Machine Unlearning of Features and Labels
Authors: Alexander Warnecke, Lukas Pirch, Christian Wressnegger, Konrad Rieck | Published: 2021-08-26 | Updated: 2023-08-07
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Authors: Runhua Xu, Nathalie Baracaldo, James Joshi | Published: 2021-08-10 | Updated: 2021-09-22
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Authors: Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, Jose Luis Ambite | Published: 2021-08-07 | Updated: 2021-11-09
Synthetic flow-based cryptomining attack generation through Generative Adversarial Networks
Authors: Alberto Mozo, Ángel González-Prieto, Antonio Pastor, Sandra Gómez-Canaval, Edgar Talavera | Published: 2021-07-30
PDF-Malware: An Overview on Threats, Detection and Evasion Attacks
Authors: Nicolas Fleury, Theo Dubrunquez, Ihsen Alouani | Published: 2021-07-27
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
Authors: Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar | Published: 2021-07-26
Generative Models for Security: Attacks, Defenses, and Opportunities
Authors: Luke A. Bauer, Vincent Bindschaedler | Published: 2021-07-21 | Updated: 2021-07-29