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Haolin Yuan
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2020 – today
- 2024
- [c10]Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao:
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CCS 2024: 3600-3614 - [c9]Haolin Yuan, William Paul, John N. Aucott, Philippe Burlina, Yinzhi Cao:
PFEDEDIT: Personalized Federated Learning via Automated Model Editing. ECCV (79) 2024: 91-107 - [c8]Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao:
SneakyPrompt: Jailbreaking Text-to-image Generative Models. SP 2024: 897-912 - [i5]Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao:
PLeak: Prompt Leaking Attacks against Large Language Model Applications. CoRR abs/2405.06823 (2024) - 2023
- [c7]Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao:
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. DSN 2023: 288-301 - [c6]Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao:
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. MICCAI (4) 2023: 374-384 - [c5]Zhuohao (Jerry) Zhang, Smirity Kaushik, Jooyoung Seo, Haolin Yuan, Sauvik Das, Leah Findlater, Danna Gurari, Abigale Stangl, Yang Wang:
ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. SOUPS 2023: 417-436 - [c4]Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao:
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. USENIX Security Symposium 2023: 1595-1612 - [i4]Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao:
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. CoRR abs/2305.12082 (2023) - 2022
- [c3]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. ECCV (38) 2022: 179-195 - [i3]Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina:
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. CoRR abs/2202.13883 (2022) - [i2]Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Addressing Heterogeneity in Federated Learning via Distributional Transformation. CoRR abs/2210.15025 (2022) - 2021
- [c2]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. NDSS 2021 - [c1]Zhuohao Zhang, Zhilin Zhang, Haolin Yuan, Natã M. Barbosa, Sauvik Das, Yang Wang:
WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments. SOUPS @ USENIX Security Symposium 2021: 281-298 - [i1]Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao:
Practical Blind Membership Inference Attack via Differential Comparisons. CoRR abs/2101.01341 (2021)
2010 – 2019
- 2019
- [j1]Qian Liu, Haolin Yuan:
A High Performance Memory Key-Value Database Based on Redis. J. Comput. 14(3): 170-183 (2019)
Coauthor Index
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last updated on 2024-12-23 19:34 CET by the dblp team
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