Haolin Yuan

17 papers A* 4A 2Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free.
CoRR
Haolin Yuan, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu
2024 — conf
PFEDEDIT: Personalized Federated Learning via Automated Model Editing.
ECCV (79)
Haolin Yuan, William Paul, John N. Aucott, Philippe Burlina, Yinzhi Cao
2024 A* conf
PLeak: Prompt Leaking Attacks against Large Language Model Applications.
CCS
Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao
2024 J jnl
PLeak: Prompt Leaking Attacks against Large Language Model Applications.
CoRR
Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Philippe Burlina, Yinzhi Cao
2024 A* conf
SneakyPrompt: Jailbreaking Text-to-image Generative Models.
SP
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao
2023 — conf
EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness.
MICCAI (4)
Haolin Yuan, John N. Aucott, Armin Hadzic, William Paul, Marcia Villegas de Flores, Philip Mathew, Philippe Burlina, Yinzhi Cao
2023 A conf
Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.
DSN
Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao
2023 A conf
ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content.
SOUPS
Zhuohao (Jerry) Zhang, Smirity Kaushik, Jooyoung Seo, Haolin Yuan, Sauvik Das, Leah Findlater, Danna Gurari, Abigale Stangl, Yang Wang
2023 A* conf
PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation.
USENIX Security Symposium
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
2023 J jnl
SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters.
CoRR
Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao
2022 — conf
Addressing Heterogeneity in Federated Learning via Distributional Transformation.
ECCV (38)
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2022 J jnl
Addressing Heterogeneity in Federated Learning via Distributional Transformation.
CoRR
Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2022 J jnl
EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation.
CoRR
Haolin Yuan, Armin Hadzic, William Paul, Daniella Villegas de Flores, Philip Mathew, John N. Aucott, Yinzhi Cao, Philippe Burlina
2021 A* conf
Practical Blind Membership Inference Attack via Differential Comparisons.
NDSS
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2021 J jnl
Practical Blind Membership Inference Attack via Differential Comparisons.
CoRR
Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao
2021 — conf
WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments.
SOUPS @ USENIX Security Symposium
Zhuohao Zhang, Zhilin Zhang, Haolin Yuan, Natã M. Barbosa, Sauvik Das, Yang Wang
2019 J jnl
A High Performance Memory Key-Value Database Based on Redis.
J. Comput.
Qian Liu, Haolin Yuan