Peixin Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
7
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Towards Provably Unlearnable Examples via Bayes Error Optimization. | Ruihan Zhang, Jun Sun, Ee-Peng Lim, Peixin Zhang |
| 2026 | NDSS | Rounding-Guided Backdoor Injection in Deep Learning Model Quantization. | Xiangxiang Chen, Peixin Zhang, Jun Sun, Wenhai Wang, Jingyi Wang |
| 2026 | WWW | LLMQuA: Practical Backdoor Injection on Large Language Model Quantization. | Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang |
| 2026 | WWW | Be Responsible in Your Answers! Monitoring Out-of-Domain Behaviors in Domain-Specific LLMs. | Boquan Li, Chenzhe Lou, Zhe Ren, Peixin Zhang, Zirui Fu, Jun Sun, Yaowen Zheng |
| 2025 | ICML | LLMScan: Causal Scan for LLM Misbehavior Detection. | Mengdi Zhang, Kai Kiat Goh, Peixin Zhang, Jun Sun, Lin Xin Rose, Hongyu Zhang |
| 2024 | GLOBECOM | Coalition game-based clustering algorithm for LEO satellite networks. | Peixin Zhang, Wenting Wei, Kun Wang, Lizhe Liu, Liang Qin, Celimuge Wu |
| 2020 | ICECCS | An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks. | Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Ting Dai |
| 2020 | ICSE | White-box fairness testing through adversarial sampling. | Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai |
| 2019 | ICSE | Adversarial sample detection for deep neural network through model mutation testing. | Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang |
| 2018 | ICSE | Towards optimal concolic testing. | Xinyu Wang, Jun Sun, Zhenbang Chen, Peixin Zhang, Jingyi Wang, Yun Lin |