NoiseScope: Detecting Deepfake Images in a Blind Setting. - Jiameng Pu; Neal Mangaokar; Bolun Wang; Chandan K. Reddy; Bimal Viswanath (ACSAC, 2020)

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models. - Neal Mangaokar; Jiameng Pu; Parantapa Bhattacharya; Chandan K. Reddy; Bimal Viswanath (EuroS&P, 2020)

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; Bimal Viswanath (USENIX Security Symposium, 2021)

Deepfake Videos in the Wild: Analysis and Detection. - Jiameng Pu; Neal Mangaokar; Lauren Kelly; Parantapa Bhattacharya; Kavya Sundaram; Mobin Javed; Bolun Wang; Bimal Viswanath (WWW, 2021)

GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems. - Ryan Feng; Neal Mangaokar; Jiefeng Chen 001; Earlence Fernandes; Somesh Jha; Atul Prakash 001 (EuroS&P, 2022)

Towards Adversarially Robust Deepfake Detection: An Ensemble Approach. - Ashish Hooda; Neal Mangaokar; Ryan Feng; Kassem Fawaz; Somesh Jha; Atul Prakash 001 (CoRR, 2022)

Dispelling Misconceptions and Characterizing the Failings of Deepfake Detection. - Neal Mangaokar; Atul Prakash 001 (IEEE Secur. Priv., 2022)

Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks. - Ryan Feng; Ashish Hooda; Neal Mangaokar; Kassem Fawaz; Somesh Jha; Atul Prakash 001 (CCS, 2023)

Investigating Stateful Defenses Against Black-Box Adversarial Examples. - Ryan Feng; Ashish Hooda; Neal Mangaokar; Kassem Fawaz; Somesh Jha; Atul Prakash 001 (CoRR, 2023)

Theoretically Principled Trade-off for Stateful Defenses against Query-Based Black-Box Attacks. - Ashish Hooda; Neal Mangaokar; Ryan Feng; Kassem Fawaz; Somesh Jha; Atul Prakash 001 (CoRR, 2023)

PRP: Propagating Universal Perturbations to Attack Large Language Model Guard-Rails. - Neal Mangaokar; Ashish Hooda; Jihye Choi; Shreyas Chandrashekaran; Kassem Fawaz; Somesh Jha; Atul Prakash 001 (ACL (1), 2024)

D4: Detection of Adversarial Diffusion Deepfakes Using Disjoint Ensembles. - Ashish Hooda; Neal Mangaokar; Ryan Feng; Kassem Fawaz; Somesh Jha; Atul Prakash 001 (WACV, 2024)

Harmful Terms and Where to Find Them: Measuring and Modeling Unfavorable Financial Terms and Conditions in Shopping Websites at Scale. - Elisa Tsai; Neal Mangaokar; Boyuan Zheng; Haizhong Zheng; Atul Prakash 001 (WWW, 2025)

What Really is a Member? Discrediting Membership Inference via Poisoning. - Neal Mangaokar; Ashish Hooda; Zhuohang Li; Bradley A. Malin; Kassem Fawaz; Somesh Jha; Atul Prakash 001; Amrita Roy Chowdhury 001 (CoRR, 2025)

Taming Data Challenges in ML-based Security Tasks: Lessons from Integrating Generative AI. - Shravya Kanchi; Neal Mangaokar; Aravind Cheruvu; Sifat Muhammad Abdullah; Shirin Nilizadeh; Atul Prakash 001; Bimal Viswanath (CoRR, 2025)