A Stealthy Inference Attack on Split Learning with a Split-Fuse Defensive Measure. - Sean Dougherty; Abhinav Kumar 007; Jie Hou; Reza Tourani; Atena M. Tabakhi (CNS, 2023)

IoT Sentinel: Correlation-based Attack Detection, Localization, and Authentication in IoT Networks. - Dianshi Yang; Abhinav Kumar 007; Stuart Ray; Wei Wang 190; Reza Tourani (ICCCN, 2023)

A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference. - Abhinav Kumar 007; Miguel A. Guirao Aguilera; Reza Tourani; Satyajayant Misra (AsiaCCS, 2024)

Silver Linings in the Shadows: Harnessing Membership Inference for Machine Unlearning. - Nexhi Sula; Abhinav Kumar 007; Jie Hou 001; Han Wang 021; Reza Tourani (CoRR, 2024)

Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability. - Chenxi Li; Abhinav Kumar 007; Zhen Guo; Jie Hou 001; Reza Tourani (CoRR, 2024)

Persistent Backdoor Attacks in Continual Learning. - Zhen Guo; Abhinav Kumar 007; Reza Tourani (CoRR, 2024)

OverThink: Slowdown Attacks on Reasoning LLMs. - Abhinav Kumar 007; Jaechul Roh; Ali Naseh; Marzena Karpinska; Mohit Iyyer; Amir Houmansadr; Eugene Bagdasarian (CoRR, 2025)

LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation. - Abhinav Kumar 007; George Torres; Noah Guzinski; Gaurav Panwar; Reza Tourani; Satyajayant Misra; Marcin Spoczynski; Mona Vij; Nageen Himayat (CoRR, 2025)

Network-Level Prompt and Trait Leakage in Local Research Agents. - Hyejun Jeong; Mohammadreza Teymoorianfard; Abhinav Kumar 007; Amir Houmansadr; Eugene Bagdasarian (CoRR, 2025)

Throttling Web Agents Using Reasoning Gates. - Abhinav Kumar 007; Jaechul Roh; Ali Naseh; Amir Houmansadr; Eugene Bagdasarian (CoRR, 2025)