Huazi Pan

Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach

Manipulation of local training data and local updates, i.e., the poisoning attack, is the main threat arising from the collaborative nature of the federated learning (FL) paradigm. Most existing poisoning attacks aim to manipulate local data/models in a way that causes denial-of-service (DoS) issues