Haolin YuanI am a third-year Ph.D. student major in Computer Science at Johns Hopkins University, advised by Prof. Yinzhi Cao. I got my master degree in Computer Informatics at Hopkins and got my B.S. degree in Computer Science, double majored in Mathematics at Brandeis University. Email: hyuan4 at jhu dot edu / CV / Google Scholar |
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Research InterestsMy research interests mainly focus on machine learning privacy and model fairness. Recently I'm working on federated leaning and privacy problems occurred in generative models (e.g., LLMs). |
Publications |
Sneakyprompt: Jailbreaking text-to-image generative modelsYuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao in the Proceedings of IEEE Symposium on Security and Privacy (SP) 2024.Reported by MIT Technology Review and IEEE |
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis FairnessHaolin Yuan*, John Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, and Yinzhi Cao in the Proceedings of th 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023 |
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data TransformationHaolin Yuan, Yuchen Yang*, Bo Hui*, Neil Gong, and Yinzhi Cao *:equally contributed in the Proceedings of USENIX Security Symposium, 2023. |
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input PerturbationYuchen Yang, Haolin Yuan, Bo Hui, Neil Gong, Neil Fendley, Philippe Burlina, and Yinzhi Caoto appear in the Annual IEEE/IFIP International Conference on Dependable Systems and Network (DSN), 2023. |
ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image ContentZhuohao Zhang, Smirity Kaushik, JooYoung Seo, Haolin Yuan, Sauvik Das, Leah Findlater, Danna Gurari, Abigale Stangl, Yang Wangin the Proceedings of the 19th Symposium on Usable Privacy and Security (SOUPS), 2023 |
Addressing Heterogeneity in Federated Learning via Distributional TransformationHaolin Yuan*, Bo Hui*, Yuchen Yang*, Philippe Burlina, Neil Zhenqiang Gong, and Yinzhi Cao *:equally contributedin the Proceedings of European Conference on Computer Vision (ECCV), 2022. |
Practical Blind Membership Inference Attack via Differential ComparisonsBo Hui*, Yuchen Yang*, Haolin Yuan*, Philippe Burlina, Neil Gong, Yinzhi Cao *:equally contributed in the Proceedings of Network & Distributed System Security Symposium (NDSS), 2021 |
WebAlly - A case study of Web-task friend sourcing in solving CAPTCHAZhuohao Zhang, Zhilin Zhang, Haolin Yuan, Nata M Barbosa, Sauvik Das, Yang Wang in the Proceedings of Symposium on Usable Privacy and Security (SOUPS), 2021 |
Teachning/Researching Experience Teaching Asssitant | Brandeis University
Course Assistant | Johns Hopkins University
Research Assistant | Johns Hopkins University
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