2023
Characterizing Internal Evasion Attacks in Federated Learning
AISTATS 2023poster
Federated learning allows for clients in a distributed system to jointly train a machine learning model. However, clients’ models are vulnerable to attacks during the training and testing phases. In this paper, we address the issue of adversarial clients performing “internal evasion attacks”: crafti…