Peixin Zhang

According to our database, Peixin Zhang authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PRUNE: A Patching Based Repair Framework for Certifiable Unlearning of Neural Networks.

Xuran Li, Jingyi Wang, Xiaohan Yuan, Peixin Zhang, Zhan Qin, Zhibo Wang, Kui Ren

CoRR, May, 2025

2024

RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively.

Yao Lu, Peixin Zhang, Jingyi Wang, Lei Ma, Xiaoniu Yang, Qi Xuan

CoRR, 2024

LLMScan: Causal Scan for LLM Misbehavior Detection.

Mengdi Zhang, Kai Kiat Goh, Peixin Zhang, Jun Sun

CoRR, 2024

Resilient Watermarking for LLM-Generated Codes.

Boquan Li, Mengdi Zhang, Peixin Zhang, Jun Sun, Xingmei Wang

CoRR, 2024

2023

Boosting Adversarial Training in Safety-Critical Systems Through Boundary Data Selection.

Yifan Jia, Christopher M. Poskitt, Peixin Zhang, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay

IEEE Robotics Autom. Lett., December, 2023

QuoTe: Quality-oriented Testing for Deep Learning Systems.

Jialuo Chen, Jingyi Wang, Xingjun Ma, Youcheng Sun, Jun Sun, Peixin Zhang, Peng Cheng

ACM Trans. Softw. Eng. Methodol., September, 2023

Backdoor Attack through Machine Unlearning.

Peixin Zhang, Jun Sun, Mingtian Tan, Xinyu Wang

CoRR, 2023

Towards Certified Probabilistic Robustness with High Accuracy.

Ruihan Zhang, Peixin Zhang, Jun Sun

CoRR, 2023

2022

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong

IEEE Trans. Software Eng., 2022

2021

Fairness Testing of Deep Image Classification with Adequacy Metrics.

Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang

CoRR, 2021

Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong

CoRR, 2021

2020

White-box fairness testing through adversarial sampling.

Peixin Zhang, Jingyi Wang, Jun Sun, Guoliang Dong, Xinyu Wang, Xingen Wang, Jin Song Dong, Ting Dai

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

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

Proceedings of the 25th International Conference on Engineering of Complex Computer Systems, 2020

2019

There is Limited 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, Dai Ting

CoRR, 2019

Adversarial sample detection for deep neural network through model mutation testing.

Jingyi Wang, Guoliang Dong, Jun Sun, Xinyu Wang, Peixin Zhang

Proceedings of the 41st International Conference on Software Engineering, 2019

2018

Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing.

Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang

CoRR, 2018

Towards optimal concolic testing.

Xinyu Wang, Jun Sun, Zhenbang Chen, Peixin Zhang, Jingyi Wang, Yun Lin

Proceedings of the 40th International Conference on Software Engineering, 2018