Yuan Hong
Associate Professor/Computing

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Scholarly Contributions

29 Scholarly Contributions

13
Conference Proceedings
9
Journal Articles
5
Poster/Presentations
2
Patent and Intellectual Propertys
Utility Optimized Differential Privacy System
2022
Yuan Hong
Research Type: Patent and Intellectual Property

Differentially Private Outsourcing of Anomaly Detection
2022
Yuan Hong
Research Type: Patent and Intellectual Property

WPES Chair Welcome Presentation at CCS'22
2022
Yuan Hong
Research Type: Poster/Presentation

Cryptographic Tools for Privacy Preserving Deep Neural Networks
2022
Yuan Hong
Research Type: Poster/Presentation

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

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

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

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

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
Yuan Hong
Research Type: Conference Proceedings

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

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (ICDE'22)
2024
Yuan Hong
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
Yuan Hong
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