Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models. - Shagufta Mehnaz; Sayanton V. Dibbo; Ehsanul Kabir; Ninghui Li; Elisa Bertino (USENIX Security Symposium, 2022)

Towards Sentence Level Inference Attack Against Pre-trained Language Models. - Kang Gu; Ehsanul Kabir; Neha Ramsurrun; Soroush Vosoughi; Shagufta Mehnaz (Proc. Priv. Enhancing Technol., 2023)

FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks. - Ehsanul Kabir; Zeyu Song; Md. Rafi Ur Rashid; Shagufta Mehnaz (SP, 2024)

GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models. - Zeyu Song; Ehsanul Kabir; Shagufta Mehnaz (Proc. Priv. Enhancing Technol., 2025)

Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses. - Ehsanul Kabir; Lucas Craig; Shagufta Mehnaz (CoRR, 2025)