Yuan Hong
Associate Professor/Computing
L-SRR: Local Differential Privacy for Location-Based Services with Staircase Randomized Response (CCS'22)
2024
Hanbin Hong, Yuan Hong
Research Type: Conference Proceedings

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming
2024
Yuan Hong, Xiaochen Li, Meisam Mohammaday, Zhan Qin, Shuya Feng, Han Wang
Research Type: Conference Proceedings

A Model-Agnostic Approach to Differentially Private Topic Mining (KDD'22)
2024
Research Type: Conference Proceedings

Cryptographic Inferences for Video Deep Neural Networks (CCS'22)
2024
Research Type: Conference Proceedings

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (ICDE'22)
2024
Research Type: Conference Proceedings

UniCR: Universally Approximated Certified Robustness via Randomized Smoothing (ECCV'22)
2024
Yuan Hong, Hanbin Hong
Research Type: Conference Proceedings

Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning Against Attribute Inference Attacks
2024
Caridad Arroyo Arevalo, Sayedeh Leila Noorbakhsh, Binghui Wang, Yun Dong, Yuan Hong
Research Type: Conference Proceedings

Towards Accurate and Stronger Local Differential Privacy for Federated Learning with Staircase Randomized Response
2024
Matta Varun, Shamik Sural, Shuya Feng, Yuan Hong, Han Wang
Research Type: Conference Proceedings

OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization (VLDB'23)
2024
Research Type: Conference Proceedings

PrivacyAsst: Safeguarding User Privacy in Tool-Using Large Language Model Agents
2024
Xinyu Zhang, Zhongjie Ba, Jian Liu, Zhibo Wang, Yuan Hong, Zhan Qin, Huiyu Xu, Kui Ren
Research Type: Journal Article

UniAP: Protecting Speech Privacy with Non-targeted Universal Adversarial Perturbations (TDSC)
2024
Research Type: Journal Article

Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory
2024
Zhan Qin, Kui Ren, Jian Lou, Xiaochen Li, Weiran Liu, Yuan Hong, Lei Zhang
Research Type: Journal Article

Data Poisoning Attacks on Traffic State Estimation and Prediction  
2024
Terry Rockafellar, Xin Wang, Yuan Hong, Feilong Wang, Xuegang Ban
Research Type: Journal Article

Towards Provable Robustness and Privacy for Language Models
2024
Research Type: Poster/Presentation

Stealthy 3D Poisoning Attack on Video Recognition Models (TDSC)
2023
Research Type: Journal Article

Infrastructure-enabled GPS Spoofing Detection and Correction
2023
Yuan Hong, Xuegang (Jeff) Ban, Feilong Wang
Research Type: Journal Article

FaceIDP: Face Identification Differential Privacy via Dictionary Learning Neural Networks
2023
Research Type: Journal Article

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (TKDE)
2023
Research Type: Journal Article

Trustworthy Video Understanding Deep Learning Systems
2023
Research Type: Poster/Presentation

Universal Certified Defense Frameworks against Adversarial Attacks
2023
Research Type: Poster/Presentation