Scholar
Neal Mangaokar
Google Scholar ID: k7GbiDIAAAAJ
Postdoctoral Researcher @ Meta FAIR
Citations & Impact
Citations
422
H-index
9
i10-index
9
Publications
14
Co-authors
22
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'What Really is a Member? Discrediting Membership Inference via Poisoning' (NeurIPS 2025), 'Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale' (ACM WWW 2025), 'PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails' (ACL 2024), and more. Received the 2023 ACM CCS Travel Grant and the 2022 Rackham Conference Travel Grant (William & Flora Hewlett Foundation Award).
Research Experience
- Spent a memorable summer on Amazon's SAAR team. Currently a postdoctoral researcher on the Fundamental AI Research (FAIR) team at Meta in San Francisco.
Education
- Ph.D. from the University of Michigan, Ann Arbor, advised by Dr. Atul Prakash; also worked closely with Dr. Kassem Fawaz and Dr. Somesh Jha at the University of Wisconsin-Madison. B.S. in Computer Science from Virginia Tech, advised by Dr. Bimal Viswanath. Supported by funding from the National Science Foundation via a NSF Graduate Research Fellowship and the DARPA GARD program.
Background
- Research interests span the security and privacy implications of machine-learning systems. Currently a postdoctoral researcher on the Fundamental AI Research (FAIR) team at Meta in San Francisco.
