Rouzbeh Behnia
Rouzbeh Behnia

Assistant Professor

University of South Florida

About Me

I am an assistant professor at the School of Information Systems (SIS) at the University of South Florida. I received my Ph.D. in Computer Science from the University of South Florida.

My research develops practical solutions for the safe, secure, and responsible adoption of emerging technologies. My work spans trustworthy AI, including privacy-preserving AI, federated learning, machine unlearning, AI safety, and verifiable AI systems, as well as secure and resilient distributed systems, with a focus on post-quantum cryptography, authentication, cellular networks, and IoT environments. Across these areas, I design mechanisms that protect privacy, security, safety, and system integrity while preserving computational efficiency, model utility, interoperability, and organizational value.

Interests
  • Secure and Trustworthy AI
  • Security with AI
  • Applied Crytography and Post-Quantum Security
📣 NEWS
Recent Publications

For a complete list of publications, please visit my Google Scholar

Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco (2024). Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement. Accepted to NeurIPS 2024.
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Rouzbeh Behnia, Arman Riasi, Mohammadreza Ebrahimi, Sherman S. M. Chow, Balaji Padmanabhan, Thang Hoang (2024). Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning. Accepted to ACSAC 2024.
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Tung Le, Rouzbeh Behnia, Jorge Guajardo, Thang Hoang (2024). MUSES: Efficient Multi-User Searchable Encrypted Database. 33rd USENIX Security Symposium (USENIX Security 24).
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Teaching

Fall 2024

  • ISM 4263/6930 Cloud Solution Architecture