Multiview clustering based on Robust and Regularized Matrix Approximation. - Jiameng Pu; Qian Zhang 009; Lefei Zhang; Bo Du 001; Jane You (ICPR, 2016)

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)

Throwing Darts in the Dark? Detecting Bots with Limited Data using Neural Data Augmentation. - Steve T. K. Jan; Qingying Hao; Tianrui Hu; Jiameng Pu; Sonal Oswal; Gang Wang 011; Bimal Viswanath (SP, 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)

Defending Against Misuse of Synthetic Media: Characterizing Real-world Challenges and Building Robust Defenses. - Jiameng Pu (2022)

Deepfake Text Detection: Limitations and Opportunities. - Jiameng Pu; Zain Sarwar; Sifat Muhammad Abdullah; Abdullah Rehman; Yoonjin Kim; Parantapa Bhattacharya; Mobin Javed; Bimal Viswanath (SP, 2023)

Embedding Attack Project (Work Report). - Jiameng Pu; Zafar Takhirov (CoRR, 2024)