Rajeev Sahay

About

Rajeev Sahay is an Assistant Teaching Professor at the University of California, San Diego, United States. His research focuses on federated learning, signal classification, and deep learning applications, as evidenced by his recent publications on mitigating evasion attacks and defending against adversarial attacks in various systems. He is also engaged in exploring robust classification methods and uncertainty quantification frameworks.