Jiameng Pu

Throwing Darts in the Dark? Detecting Bots with Limited Data using Neural Data Augmentation

Steve T.K. Jan, Qingying Hao, Tianrui Hu et al. · 2020 · 61 citations · Full text

Artificial Intelligence, Abuse Detection, Engineering +19

Deepfake Videos in the Wild: Analysis and Detection

Jiameng Pu, Neal Mangaokar, Lauren Kelly et al. · 2021 · 44 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +20

Deepfake Text Detection: Limitations and Opportunities

Jiameng Pu, Zain Sarwar, Sifat Muhammad Abdullah et al. · 2023 · 41 citations

Abuse Detection, Deepfake Text Detection, Machine Learning +19

NoiseScope: Detecting Deepfake Images in a Blind Setting

Jiameng Pu, Neal Mangaokar, Bolun Wang et al. · Annual Computer Security Applications Conference · 2020 · 26 citations

Engineering, Machine Learning, Blind Detection Approach +21

T-Miner: A Generative Approach to Defend Against Trojan Attacks on\n DNN-based Text Classification

Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed et al. · arXiv (Cornell University) · 2021 · 23 citations · Full text