Neal Mangaokar
Ph.D. candidate @UMich CSE
I'm a 5th-year Ph.D. candidate in the Computer Science and Engineering department of the University of Michigan, Ann Arbor. I'm advised by Dr. Atul Prakash, and also enjoy working closely with Dr. Kassem Fawaz and Dr. Somesh Jha at the University of Wisconsin-Madison. I received my B.S in Computer Science at Virginia Tech, where I was advised by Dr. Bimal Viswanath.
My research interests span the security, privacy, and fairness implications of machine-learning systems. My work has been largely funded by the National Science Foundation via a NSF Graduate Research Fellowship and the DARPA GARD program.
PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails
Neal Mangaokar (co-lead), Ashish Hooda (co-lead), Jihye Choi, Shreyas Chandrashekaran, Kassem Fawaz, Somesh Jha, and Atul Prakash
ACL 2024, Bangkok, Thailand, August 2024 [Code]D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles
Ashish Hooda (co-lead), Neal Mangaokar (co-lead), Ryan Feng, Kassem Fawaz, Somesh Jha, and Atul Prakash
IEEE/CVF WACV, Waikoloa, Hawaii, January 2024 [Code]Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks
Ryan Feng (co-lead), Ashish Hooda (co-lead), Neal Mangaokar (co-lead), Kassem Fawaz, Somesh Jha, and Atul Prakash
ACM CCS, Copenhagen, Denmark, November 2023 [Code]Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks
Ashish Hooda (co-lead), Neal Mangaokar (co-lead), Ryan Feng, Kassem Fawaz, Somesh Jha, and Atul Prakash
AdvML Frontiers Workshop at ICML, Hawaii, 2023GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems
Ryan Feng, Neal Mangaokar, Jiefeng Chen, Earlence Fernandes, Somesh Jha, and Atul Prakash
IEEE EuroS&P, Genova, Italy, June 2022 [Presentation][Code]Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection
Neal Mangaokar and Atul Prakash
IEEE S&P Magazine, October 2021Deepfake Videos in the Wild: Analysis and Detection
Jiameng Pu (co-lead), Neal Mangaokar (co-lead), Lauren Kelly, Parantapa Bhattacharya, Kavya Sundaram, Mobin Javed, Bolun Wang, and Bimal Viswanath
ACM WWW, Ljubljana, Slovenia, August 2021 [Presentation][Code]T-Miner: A Generative Approach to Defend Against Trojan Attacks on DNN-based Text Classification
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K. Reddy, and Bimal Viswanath
USENIX Security Symposium, Vancouver, CA, August 2021 [Presentation][Code]NoiseScope: Detecting Deepfake Images in a Blind Setting
Jiameng Pu, Neal Mangaokar, Bolun Wang, Chandan K. Reddy, and Bimal Viswanath
ACM ACSAC, Austin, USA, December 2020 [Presentation][Code]Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, and Bimal Viswanath
IEEE EuroS&P, Genova, Italy, September 2020 [Presentation]
- ACM CCS Travel Grant
- Rackham Conference Travel Grant (William & Flora Hewlett Foundation Award)
- National Science Foundation Graduate Research Fellowship
- University of Michigan GSS Fellowship
- Gerstacker Foundation Fellowship
- Michael P. Wellman Fellowship
- Wurman Family Computer Science Fellowship
- David Heilman Research Award (Undergraduate Research)
- Phi Beta Kappa Academic Honor Society
- Virginia Tech CS Senior Scholar Award
- Virginia Tech CS Research Scholarship
- Virginia Tech CS Advisor Scholarship
- Virginia Tech Computer Science Resources Consortium Scholarship
- Virginia Tech CS Junior Scholar Award
- Block.One Blockchain Hackathon Winner
- Virginia Tech Computer Science Resources Consortium Scholarship
- Virginia Tech Investment in Excellence Scholarship
- Virginia Tech CS Sophomore Scholar Award
- Pratt Engineering Scholarship