A High Performance Memory Key-Value Database Based on Redis. - Qian Liu; Haolin Yuan (J. Comput., 2019)

Practical Blind Membership Inference Attack via Differential Comparisons. - Bo Hui 002; Yuchen Yang 001; Haolin Yuan; Philippe Burlina; Neil Zhenqiang Gong; Yinzhi Cao (NDSS, 2021)

WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments. - Zhuohao Zhang 001; Zhilin Zhang; Haolin Yuan; Natã M. Barbosa; Sauvik Das; Yang Wang 005 (SOUPS @ USENIX Security Symposium, 2021)

Addressing Heterogeneity in Federated Learning via Distributional Transformation. - Haolin Yuan; Bo Hui 002; Yuchen Yang 001; Philippe Burlina; Neil Zhenqiang Gong; Yinzhi Cao (ECCV (38), 2022)

EdgeMixup: Improving Fairness for Skin Disease Classification and Segmentation. - Haolin Yuan; Armin Hadzic; William Paul; Daniella Villegas de Flores; Philip Mathew; John N. Aucott; Yinzhi Cao; Philippe Burlina (CoRR, 2022)

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation. - Yuchen Yang 001; Haolin Yuan; Bo Hui 002; Neil Zhenqiang Gong; Neil Fendley; Philippe Burlina; Yinzhi Cao (DSN, 2023)

EdgeMixup: Embarrassingly Simple Data Alteration to Improve Lyme Disease Lesion Segmentation and Diagnosis Fairness. - Haolin Yuan; John N. Aucott; Armin Hadzic; William Paul; Marcia Villegas de Flores; Philip Mathew; Philippe Burlina; Yinzhi Cao (MICCAI (4), 2023)

ImageAlly: A Human-AI Hybrid Approach to Support Blind People in Detecting and Redacting Private Image Content. - Zhuohao (Jerry) Zhang; Smirity Kaushik; Jooyoung Seo; Haolin Yuan; Sauvik Das; Leah Findlater; Danna Gurari; Abigale Stangl; Yang Wang 005 (SOUPS, 2023)

PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation. - Yuchen Yang 001; Bo Hui 002; Haolin Yuan; Neil Zhenqiang Gong; Yinzhi Cao (USENIX Security Symposium, 2023)

SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters. - Yuchen Yang 001; Bo Hui 002; Haolin Yuan; Neil Zhenqiang Gong; Yinzhi Cao (CoRR, 2023)

PLeak: Prompt Leaking Attacks against Large Language Model Applications. - Bo Hui 002; Haolin Yuan; Neil Gong 001; Philippe Burlina; Yinzhi Cao (CCS, 2024)

PFEDEDIT: Personalized Federated Learning via Automated Model Editing. - Haolin Yuan; William Paul; John N. Aucott; Philippe Burlina; Yinzhi Cao (ECCV (79), 2024)

SneakyPrompt: Jailbreaking Text-to-image Generative Models. - Yuchen Yang 001; Bo Hui 002; Haolin Yuan; Neil Gong 001; Yinzhi Cao (SP, 2024)