Accuracy is Not Enough: Poisoning Interpretability in Federated Learning via Color Skew

Farhin Farhad Riya, Shahinul Hoque, Jinyuan Stella Sun +1

As machine learning models are increasingly deployed in safety-critical domains, visual explanation techniques have become essential tools for supporting transparency. In this work…