Papers by Prateek Jain
Red-Teaming NSFW Image Classifiers as Text-to-Image Safeguards (2026.findings-acl)
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Tinghao Xie, Yueqi Xie, Alireza Zareian, Shuming Hu, Felix Juefei-Xu, Xiaowen Lin, Ankit Jain, Prateek Mittal, Li Chen
| Challenge: | Not Safe for Work (NSFW) image classifiers play a critical role in safeguarding text-to-image systems. |
| Approach: | They propose an automated red-teaming framework that leverages a set of generative AI tools to uncover NSFW image failures. |
| Outcome: | The proposed framework uncovers and interprets failure modes and enables it to be applied to real-world T2I and T2V systems. |
A Topic-Aligned Multilingual Corpus of Wikipedia Articles for Studying Information Asymmetry in Low Resource Languages (2020.lrec-1)
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| Challenge: | a systematic comparison of information coverage in English Wikipedia and Wikipedias in eight other widely spoken languages is needed to bridge the information gap. |
| Approach: | They compare information coverage in English Wikipedia and Wikipedias in eight other widely spoken languages. |
| Outcome: | The analysis quantifies and provides useful insights about the information gap that exists between different language editions of Wikipedia and offers a roadmap for the IR community to bridge this gap. |