| Adversarial sample detection for deep neural network through model mutation testing J Wang, G Dong, J Sun, X Wang, P Zhang 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 200 | 2019 |
| White-box fairness testing through adversarial sampling P ZHANG, J WANG, J SUN, G DONG, X WANG, X WANG, JS DONG, ... 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE), 2020 | 142 | 2020 |
| Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models J Chen, J Wang, T Peng, Y Sun, P Cheng, S Ji, X Ma, B Li, D Song 2022 IEEE Symposium on Security and Privacy (SP), 2022 | 88 | 2022 |
| Towards Optimal Concolic Testing X Wang, J Sun, Z Chen, P Zhang, J Wang, Y Lin 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE), 2018 | 84 | 2018 |
| RobOT: Robustness-oriented testing for deep learning systems J Wang, J Chen, Y Sun, X Ma, D Wang, J Sun, P Cheng 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 78 | 2021 |
| An empirical study on correlation between coverage and robustness for deep neural networks Y Dong, P Zhang, J Wang, S Liu, J Sun, J Hao, X Wang, L Wang, J Dong, ... 2020 25th International Conference on Engineering of Complex Computer …, 2020 | 74* | 2020 |
| VeriFi: Towards Verifiable Federated Unlearning X Gao, X Ma, J Wang, Y Sun, B Li, S Ji, P Cheng, J Chen IEEE Transactions on Dependable and Secure Computing, 2024 | 58 | 2024 |
| Improving neural network verification through spurious region guided refinement P Yang, R Li, J Li, CC Huang, J Wang, J Sun, B Xue, L Zhang International Conference on Tools and Algorithms for the Construction and …, 2021 | 50 | 2021 |
| Detecting adversarial samples for deep neural networks through mutation testing J Wang, J Sun, P Zhang, X Wang arXiv preprint arXiv:1805.05010, 2018 | 49 | 2018 |
| NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification H Zheng, Z Chen, T Du, X Zhang, Y Cheng, S Ti, J Wang, Y Yu, J Chen 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE …, 2022 | 39 | 2022 |
| Attack as defense: Characterizing adversarial examples using robustness Z Zhao, G Chen, J Wang, Y Yang, F Song, J Sun Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 37 | 2021 |
| Adversarial attacks and mitigation for anomaly detectors of cyber-physical systems Y Jia, J Wang, CM Poskitt, S Chattopadhyay, J Sun, Y Chen International Journal of Critical Infrastructure Protection 34, 100452, 2021 | 34 | 2021 |
| Prompting frameworks for large language models: A survey X Liu, J Wang, J Sun, X Yuan, G Dong, P Di, W Wang, D Wang arXiv preprint arXiv:2311.12785, 2023 | 33 | 2023 |
| Towards interpreting recurrent neural networks through probabilistic abstraction G Dong, J Wang, J Sun, Y Zhang, X Wang, T Dai, JS Dong, X Wang Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 27 | 2020 |
| Automatic fairness testing of neural classifiers through adversarial sampling P Zhang, J Wang, J Sun, X Wang, G Dong, X Wang, T Dai, JS Dong IEEE Transactions on Software Engineering 48 (9), 3593-3612, 2021 | 26 | 2021 |
| RobOT: Robustness-oriented testing for deep learning systems. In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) J Wang, J Chen, Y Sun, X Ma, D Wang, J Sun, P Cheng IEEE, 300ś311, 2021 | 21 | 2021 |
| Defending cyber–physical systems through reverse-engineering-based memory sanity check Y Geng, Y Chen, R Ma, Q Wei, J Pan, J Wang, P Cheng, Q Wang IEEE Internet of Things Journal 10 (10), 8331-8347, 2022 | 18 | 2022 |
| Towards concolic testing for hybrid systems P Kong, Y Li, X Chen, J Sun, M Sun, J Wang FM 2016: Formal Methods: 21st International Symposium, Limassol, Cyprus …, 2016 | 18 | 2016 |
| Towards repairing neural networks correctly G Dong, J Sun, X Wang, X Wang, T Dai 2021 IEEE 21st International Conference on Software Quality, Reliability and …, 2021 | 17 | 2021 |
| S-Eval: Automatic and Adaptive Test Generation for Benchmarking Safety Evaluation of Large Language Models X Yuan, J Li, D Wang, Y Chen, X Mao, L Huang, H Xue, W Wang, K Ren, ... arXiv preprint arXiv:2405.14191, 2024 | 16 | 2024 |
Sun JunProfessor of SCIS, SMUVerified email at smu.edu.sg