Compression Footprints as Security Signals for Model-Poisoning Defense
The study proposes using lossy compression distortion as a security signal to detect model-poisoning attacks in federated learning.
The study proposes using lossy compression distortion as a security signal to detect model-poisoning attacks in federated learning.