Peixin Zhang

Singapore Management University — Singapore

Computer Science · Physical Sciences

8h-index365citations26works0.32yr avg
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Research Topics

Adversarial Robustness in Machine Learning(11), Software Testing and Debugging Techniques(4), Advanced Malware Detection Techniques(4), Anomaly Detection Techniques and Applications(4), Ethics and Social Impacts of AI(3)

Publications26 total

Activity Transition Graph Generation: How Far Are We?
ACM Transactions on Software Engineering and Methodology·2025
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectively
arXiv (Cornell University)·2024Open Access
LLMScan: Causal Scan for LLM Misbehavior Detection
arXiv (Cornell University)·2024Open Access
Efficient and Universal Watermarking for LLM-Generated Code Detection
arXiv (Cornell University)·2024· 1 citedOpen Access
Boosting Adversarial Training in Safety-Critical Systems Through Boundary Data Selection
IEEE Robotics and Automation Letters·2023· 4 cited
Exploiting Machine Unlearning for Backdoor Attacks in Deep Learning System
arXiv (Cornell University)·2023· 3 citedOpen Access
Towards Certified Probabilistic Robustness with High Accuracy
arXiv (Cornell University)·2023Open Access
<scp>QuoTe</scp> : Quality-oriented Testing for Deep Learning Systems
ACM Transactions on Software Engineering and Methodology·2023· 10 citedOpen Access
Fusing LDA Topic Features for BERT-based Text Classification
Research Square (Research Square)·2022· 1 citedOpen Access
RETRACTED: A comparative study on Chinese open domain suggestion mining
Journal of Intelligent & Fuzzy Systems·2022
Information Tracking Extraction for Emergency Scenario Response
IFIP advances in information and communication technology·2022· 1 citedOpen Access
Fairness Testing of Deep Image Classification with Adequacy Metrics
arXiv (Cornell University)·2021· 7 citedOpen Access
An Emergency Measure Completeness Evaluation Method Based on UGC Data
Mobile Information Systems·2021Open Access
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling
IEEE Transactions on Software Engineering·2021· 27 citedOpen Access
Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling
arXiv (Cornell University)·2021· 3 citedOpen Access
An Empirical Study on Correlation between Coverage and Robustness for Deep Neural Networks
2020· 31 citedOpen Access
White-box fairness testing through adversarial sampling
2020· 125 citedOpen Access
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks
arXiv (Cornell University)·2019· 20 citedOpen Access
Using Augmented Reality Techniques to Simulate Training and Assistance in Electric Power
Communications in computer and information science·2019· 3 cited
Towards optimal concolic testing
2018· 71 cited
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Frequent Co-authors

Jingyi Wang(11), Jun Sun(11), Xinyu Wang(8), Jin Song Dong(5), Ting Dai(5), Hua Zhao(4), Guoliang Dong(3), Xingen Wang(3), Yizhen Dong(2), Shuang Liu(2), Jianye Hao(2), Li Wang(2), Mengdi Zhang(2), Qingtian Zeng(2), S.W. Amos(2), Xinyu Wang(1), Zhenbang Chen(1), Yun Lin(1), Jialuo Chen(1), Xingjun Ma(1)