MaSS: Multi-attribute Selective Suppression
Authors: Chun-Fu Chen, Shaohan Hu, Zhonghao Shi, Prateek Gulati, Bill Moriarty, Marco Pistoia, Vincenzo Piuri, Pierangela Samarati | Published: 2022-10-18 | Updated: 2022-10-24
Poisoning
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Authors: Xuan Gong, Liangchen Song, Rishi Vedula, Abhishek Sharma, Meng Zheng, Benjamin Planche, Arun Innanje, Terrence Chen, Junsong Yuan, David Doermann, Ziyan Wu | Published: 2022-10-16
Federated Learning for Tabular Data: Exploring Potential Risk to Privacy
Authors: Han Wu, Zilong Zhao, Lydia Y. Chen, Aad van Moorsel | Published: 2022-10-13
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
Authors: Ziquan Liu, Antoni B. Chan | Published: 2022-10-11
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Authors: Jiawei Shao, Yuchang Sun, Songze Li, Jun Zhang | Published: 2022-10-06
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses
Authors: Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra | Published: 2022-10-04
Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning
Authors: Ranwa Al Mallah, David Lopez | Published: 2022-09-30
A Snapshot of the Frontiers of Client Selection in Federated Learning
Authors: Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver | Published: 2022-09-27 | Updated: 2023-01-02
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Authors: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang | Published: 2022-09-21
Characterizing Internal Evasion Attacks in Federated Learning
Authors: Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong | Published: 2022-09-17 | Updated: 2023-10-21