Hijacking large language models via adversarial in-context learning Y Qiang, X Zhou, D Zhu arXiv preprint arXiv:2311.09948, 2023 | 30 | 2023 |
Learning to poison large language models during instruction tuning Y Qiang, X Zhou, SZ Zade, MA Roshani, P Khanduri, D Zytko, D Zhu arXiv preprint arXiv:2402.13459, 2024 | 19 | 2024 |
“It’s Not What We Were Trying to Get At, but I Think Maybe It Should Be”: Learning How to Do Trauma-Informed Design with a Data Donation Platform for Online Dating Sexual Violence W Zheng, E Walquist, I Datey, X Zhou, K Berishaj, M Mcdonald, M Parkhill, ... Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems …, 2024 | 5 | 2024 |
Generative LLM powered conversational AI application for personalized risk assessment: A case study in COVID-19 MA Roshani, X Zhou, Y Qiang, S Suresh, S Hicks, U Sethuraman, D Zhu arXiv preprint arXiv:2409.15027, 2024 | 3 | 2024 |
Towards trauma-informed data donation of sexual experience in online dating to improve sexual risk detection AI W Zheng, E Walquist, I Datey, X Zhou, K Berishaj, M Mcdonald, M Parkhill, ... Adjunct proceedings of the 36th annual ACM symposium on user interface …, 2023 | 3 | 2023 |