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Yuan Hong
18 papers at tracked venues · 15 at CORE A* · active 2024–2026
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Venues
CCS
×4
USENIX Security
×3
AAAI
×2
S&P
×2
AsiaCCS
×1
CIKM
×1
CVPR
×1
EMNLP
×1
NDSS
×1
NeurIPS
×1
SIGMOD
×1
Frequent coauthors
Binghui Wang
×9
Weiran Liu
×3
Shuya Feng
×3
Xiaochen Li
×3
Zhan Qin
×3
Kui Ren
×3
Sayedeh Leila Noorbakhsh
×3
Hanbin Hong
×3
Yuxin Yang
×3
Qiang Li
×3
Lei Zhang
×2
Binghui Zhang
×2
Papers
Concretely Efficient Correlated Oblivious Permutation
BibTeX ⧉
AsiaCCS 2026
·
Feng Han
,
Xiao Lan
,
Weiran Liu
,
Lei Zhang
,
Hao Ren
,
Lin Qu
,
Yuan Hong
DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings
BibTeX ⧉
EMNLP 2025
·
Shuya Feng
,
Yuan Hong
Delay-allowed Differentially Private Data Stream Release
BibTeX ⧉
NDSS 2025
·
Xiaochen Li
,
Zhan Qin
,
Kui Ren
,
Chen Gong
,
Shuya Feng
,
Yuan Hong
,
Tianhao Wang
Learning Robust and Privacy-Preserving Representations via Information Theory
BibTeX ⧉
AAAI 2025
·
Binghui Zhang
,
Sayedeh Leila Noorbakhsh
,
Yun Dong
,
Yuan Hong
,
Binghui Wang
PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization
BibTeX ⧉
CCS 2025
·
Qin Yang
,
Nicholas Stout
,
Meisam Mohammady
,
Han Wang
,
Ayesha Samreen
,
Christopher J. Quinn
,
Yan Yan
,
Ashish Kundu
,
Yuan Hong
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
BibTeX ⧉
USENIX Security 2025
·
Nima Naderloui
,
Shenao Yan
,
Binghui Wang
,
Jie Fu
,
Wendy Hui Wang
,
Weiran Liu
,
Yuan Hong
Safeguarding Graph Neural Networks against Topology Inference Attacks
BibTeX ⧉
CCS 2025
·
Jie Fu
,
Yuan Hong
,
Zhili Chen
,
Wendy Hui Wang
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection
BibTeX ⧉
USENIX Security 2024
·
Shenao Yan
,
Shen Wang
,
Yue Duan
,
Hanbin Hong
,
Kiho Lee
,
Doowon Kim
,
Yuan Hong
Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework
BibTeX ⧉
CIKM 2024
·
Yuxin Yang
,
Qiang Li
,
Chenfei Nie
,
Yuan Hong
,
Binghui Wang
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
BibTeX ⧉
CCS 2024
·
Hanbin Hong
,
Xinyu Zhang
,
Binghui Wang
,
Zhongjie Ba
,
Yuan Hong
DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming
BibTeX ⧉
S&P 2024
·
Shuya Feng
,
Meisam Mohammady
,
Han Wang
,
Xiaochen Li
,
Zhan Qin
,
Yuan Hong
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
BibTeX ⧉
CCS 2024
·
Yuxin Yang
,
Qiang Li
,
Jinyuan Jia
,
Yuan Hong
,
Binghui Wang
FedGMark: Certifiably Robust Watermarking for Federated Graph Learning
BibTeX ⧉
NeurIPS 2024
·
Yuxin Yang
,
Qiang Li
,
Yuan Hong
,
Binghui Wang
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks
BibTeX ⧉
USENIX Security 2024
·
Sayedeh Leila Noorbakhsh
,
Binghui Zhang
,
Yuan Hong
,
Binghui Wang
Local Differentially Private Heavy Hitter Detection in Data Streams with Bounded Memory
BibTeX ⧉
SIGMOD 2024
·
Xiaochen Li
,
Weiran Liu
,
Jian Lou
,
Yuan Hong
,
Lei Zhang
,
Zhan Qin
,
Kui Ren
On the Faithfulness of Vision Transformer Explanations
BibTeX ⧉
CVPR 2024
·
Junyi Wu
,
Weitai Kang
,
Hao Tang
,
Yuan Hong
,
Yan Yan
Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks
BibTeX ⧉
AAAI 2024
·
Caridad Arroyo Arevalo
,
Sayedeh Leila Noorbakhsh
,
Yun Dong
,
Yuan Hong
,
Binghui Wang
Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks
BibTeX ⧉
S&P 2024
·
Xinyu Zhang
,
Hanbin Hong
,
Yuan Hong
,
Peng Huang
,
Binghui Wang
,
Zhongjie Ba
,
Kui Ren