Shagufta Mehnaz

Shagufta Mehnaz is an Assistant Professor in the Department of Computer Science and Engineering. Her research focuses on privacy-preserving techniques, federated learning, and security in distributed systems. She has collaborated extensively on topics like model inversion attacks, adversarial scenarios, and anomaly detection in file systems.

• Research Interests: Privacy-preserving, Federated Learning, Anomaly Detection, Bluetooth Low Energy, Edge Computing, Security Attacks, Natural Language Processing.

Publications Trends: Her recent work (2023-2025) emphasizes adversarial attacks on language models, federated learning defenses, and privacy leakage in distributed data markets. Earlier contributions focus on anomaly detection, cryptographic ransomware detection, and secure multi-party analytics.

Collaborations: Active collaborations in privacy and security domains, including contributions to conferences like AAAI, SIGMOD, and IEEE Security & Privacy.