IEEE

AAG: Adversarial Attack Generator for evaluating the robustness of Machine Learning Models against Adversarial Attacks

Abstract: With the ongoing integration of machine learning models into critical infrastructure, the resilience of these systems against adversarial attacks is important for all domains. This paper ...
IEEE

ASDIA: An Adversarial Sample to Preserve Privacy Program in Federated Learning

Abstract: Federated learning enables training across multiple entities while ensuring data security and the effectiveness of knowledge dissemination. Despite its benefits, it remains susceptible to ...