Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Authors: Kerem Ozfatura, Emre Ozfatura, Alptekin Kupcu, Deniz Gunduz | Published: 2022-08-21 | Updated: 2024-01-01
Poisoning
Label Flipping Data Poisoning Attack Against Wearable Human Activity Recognition System
Authors: Abdur R. Shahid, Ahmed Imteaj, Peter Y. Wu, Diane A. Igoche, Tauhidul Alam | Published: 2022-08-17
FedPerm: Private and Robust Federated Learning by Parameter Permutation
Authors: Hamid Mozaffari, Virendra J. Marathe, Dave Dice | Published: 2022-08-16
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone
Authors: Aghiles Ait Messaoud, Sonia Ben Mokhtar, Vlad Nitu, Valerio Schiavoni | Published: 2022-08-11 | Updated: 2022-10-15
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Authors: Megha Khosla | Published: 2022-07-22 | Updated: 2022-10-19
Careful What You Wish For: on the Extraction of Adversarially Trained Models
Authors: Kacem Khaled, Gabriela Nicolescu, Felipe Gohring de Magalhães | Published: 2022-07-21
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Authors: Hua Ma, Qun Li, Yifeng Zheng, Zhi Zhang, Xiaoning Liu, Yansong Gao, Said F. Al-Sarawi, Derek Abbott | Published: 2022-07-19
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Authors: Ali Raza, Shujun Li, Kim-Phuc Tran, Ludovic Koehl, Kim Duc Tran | Published: 2022-07-18 | Updated: 2025-03-25
Practical Attacks on Machine Learning: A Case Study on Adversarial Windows Malware
Authors: Luca Demetrio, Battista Biggio, Fabio Roli | Published: 2022-07-12
Efficient and Privacy Preserving Group Signature for Federated Learning
Authors: Sneha Kanchan, Jae Won Jang, Jun Yong Yoon, Bong Jun Choi | Published: 2022-07-12 | Updated: 2022-07-15