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Home/Authors/Yuan Hong

Yuan Hong

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Crypto×4ML×1AI×1Software Eng.×1

Frequent co-authors

Xinyu Zhang1×
Ziping Dong1×
Qingyu Liu1×
Zhongjie Ba1×
Kui Ren1×
Jie Fu1×

Research Timeline

2026
Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning

The paper introduces CodeScan, a novel black-box framework that detects data poisoning in code generation LLMs by analyzing structural similarities across multiple generations to identify recurring, vulnerable code structures.

Adversarial Attacks on Locally Private Graph Neural Networks

This paper investigates the vulnerability of Graph Neural Networks (GNNs) protected by Local Differential Privacy (LDP) to adversarial attacks, analyzing the interplay between privacy guarantees and adversarial robustness.

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set

This paper introduces TC-UMIA, a novel tri-class membership inference attack, demonstrating that machine unlearning can leak privacy risks to the retained data set, and evaluates defense mechanisms to mitigate this risk.

"Training robust watermarking model may hurt authentication!'' Exploring and Mitigating the Identity Leakage in Robust Watermarking

The paper proposes W-IR, a novel watermarking framework that simultaneously achieves high certified robustness against adversarial attacks and effectively mitigates identity leakage in watermarked images.

Highlighted terms show continued research focus across papers

Papers

cs.CRRecentMay 10, 2026

"Training robust watermarking model may hurt authentication!'' Exploring and Mitigating the Identity Leakage in Robust Watermarking

Xinyu Zhang, Ziping Dong, Qingyu Liu, Yuan Hong +2 more

The paper proposes W-IR, a novel watermarking framework that simultaneously achieves high certified robustness against adversarial attacks and effectively mitigates identity leakage in watermarked ima…

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cs.CRRecentMay 1, 2026

Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set

Jie Fu, Nima Naderloui, Da Zhong, Yuan Hong +1 more

This paper introduces TC-UMIA, a novel tri-class membership inference attack, demonstrating that machine unlearning can leak privacy risks to the retained data set, and evaluates defense mechanisms to…

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cs.LGcs.CRRecentMar 21, 2026

Adversarial Attacks on Locally Private Graph Neural Networks

Matta Varun, Ajay Kumar Dhakar, Yuan Hong, Shamik Sural

This paper investigates the vulnerability of Graph Neural Networks (GNNs) protected by Local Differential Privacy (LDP) to adversarial attacks, analyzing the interplay between privacy guarantees and a…

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cs.CRcs.AIcs.SERecentMar 17, 2026

Detecting Data Poisoning in Code Generation LLMs via Black-Box, Vulnerability-Oriented Scanning

Shenao Yan, Shimaa Ahmed, Shan Jin, Sunpreet S. Arora +3 more

The paper introduces CodeScan, a novel black-box framework that detects data poisoning in code generation LLMs by analyzing structural similarities across multiple generations to identify recurring, v…

View →