Backdooring Explainable Machine Learning
Authors: Maximilian Noppel, Lukas Peter, Christian Wressnegger | Published: 2022-04-20
バックドア攻撃
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Authors: Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique | Published: 2022-04-18
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
Authors: Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar | Published: 2022-04-08
Breaking the De-Pois Poisoning Defense
Authors: Alaa Anani, Mohamed Ghanem, Lotfy Abdel Khaliq | Published: 2022-04-03
Distributed data analytics
Authors: Richard Mortier, Hamed Haddadi, Sandra Servia, Liang Wang | Published: 2022-03-26
Dynamic Backdoors with Global Average Pooling
Authors: Stefanos Koffas, Stjepan Picek, Mauro Conti | Published: 2022-03-04
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Authors: Huaming Chen, M. Ali Babar | Published: 2022-01-12 | Updated: 2023-12-17
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Authors: Junyu Shi, Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang | Published: 2021-12-29 | Updated: 2022-10-07
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Authors: Shangwei Guo, Xu Zhang, Fei Yang, Tianwei Zhang, Yan Gan, Tao Xiang, Yang Liu | Published: 2021-12-19
On the Security & Privacy in Federated Learning
Authors: Gorka Abad, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta | Published: 2021-12-10 | Updated: 2022-03-16