Peixin Zhang

Orcid: 0000-0001-5039-5651

Affiliations:
  • Singapore Management University, Singapore


According to our database1, Peixin Zhang authored at least 14 papers between 2018 and 2024.

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Bibliography

2024
LLMScan: Causal Scan for LLM Misbehavior Detection.
CoRR, 2024

Resilient Watermarking for LLM-Generated Codes.
CoRR, 2024

2023
Boosting Adversarial Training in Safety-Critical Systems Through Boundary Data Selection.
IEEE Robotics Autom. Lett., December, 2023

QuoTe: Quality-oriented Testing for Deep Learning Systems.
ACM Trans. Softw. Eng. Methodol., September, 2023

Backdoor Attack through Machine Unlearning.
CoRR, 2023

Towards Certified Probabilistic Robustness with High Accuracy.
CoRR, 2023

2022
Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling.
IEEE Trans. Software Eng., 2022

2021
Fairness Testing of Deep Image Classification with Adequacy Metrics.
CoRR, 2021

2020
White-box fairness testing through adversarial sampling.
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.
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.
CoRR, 2019

Adversarial sample detection for deep neural network through model mutation testing.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing.
CoRR, 2018

Towards optimal concolic testing.
Proceedings of the 40th International Conference on Software Engineering, 2018


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