Haolin Yuan

According to our database, Haolin Yuan authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SneakyPrompt: Jailbreaking Text-to-image Generative Models.

Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao

Proceedings of the IEEE Symposium on Security and Privacy, 2024

PFEDEDIT: Personalized Federated Learning via Automated Model Editing.

Haolin Yuan, William Paul, John N. Aucott, Philippe Burlina, Yinzhi Cao

Proceedings of the Computer Vision - ECCV 2024, 2024

PLeak: Prompt Leaking Attacks against Large Language Model Applications.

Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

SneakyPrompt: Evaluating Robustness of Text-to-image Generative Models' Safety Filters.

Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao

CoRR, 2023

PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation.

Yuchen Yang, Bo Hui, Haolin Yuan, Neil Zhenqiang Gong, Yinzhi Cao

Proceedings of the 32nd USENIX Security Symposium, 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

Proceedings of the Nineteenth Symposium on Usable Privacy and Security, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Fortifying Federated Learning against Membership Inference Attacks via Client-level Input Perturbation.

Yuchen Yang, Haolin Yuan, Bo Hui, Neil Zhenqiang Gong, Neil Fendley, Philippe Burlina, Yinzhi Cao

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

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

Addressing Heterogeneity in Federated Learning via Distributional Transformation.

Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

WebAlly: Making Visual Task-based CAPTCHAs Transferable for People with Visual Impairments.

Zhuohao Zhang, Zhilin Zhang, Haolin Yuan, Natã M. Barbosa, Sauvik Das, Yang Wang

Proceedings of the Seventeenth Symposium on Usable Privacy and Security, 2021

Practical Blind Membership Inference Attack via Differential Comparisons.

Bo Hui, Yuchen Yang, Haolin Yuan, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

2019

A High Performance Memory Key-Value Database Based on Redis.

Qian Liu, Haolin Yuan

J. Comput., 2019