| A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability X Huang, D Kroening, W Ruan, J Sharp, Y Sun, E Thamo, M Wu Computer Science Review, 2020 | 257 | 2020 |
| Concolic testing for deep neural networks Y Sun, M Wu, W Ruan, X Huang, M Kwiatkowska, D Kroening Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 249 | 2018 |
| Testing deep neural networks Y Sun, X Huang, D Kroening, J Sharp, M Hill, R Ashmore arXiv preprint arXiv:1803.04792, 2018 | 221 | 2018 |
| Structural test coverage criteria for deep neural networks Y Sun, X Huang, D Kroening, J Sharp, M Hill, R Ashmore ACM Transactions on Embedded Computing Systems (TECS) 18 (5s), 1-23, 2019 | 79 | 2019 |
| Global robustness evaluation of deep neural networks with provable guarantees for the hamming distance W Ruan, M Wu, Y Sun, X Huang, D Kroening, M Kwiatkowska International Joint Conference on Artificial Intelligence, 2019 | 63 | 2019 |
| trustworthiness of deep neural networks: A survey X Huang, D Kroening, M Kwiatkowska, W Ruan, Y Sun, E Thamo, M Wu, ... arXiv preprint arXiv:1812.08342, 2018 | 46 | 2018 |
| DeepConcolic: Testing and debugging deep neural networks Y Sun, X Huang, D Kroening, J Sharp, M Hill, R Ashmore 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 43 | 2019 |
| Weakly hard schedulability analysis for fixed priority scheduling of periodic real-time tasks Y Sun, MD Natale ACM Transactions on Embedded Computing Systems (TECS) 16 (5s), 1-19, 2017 | 43 | 2017 |
| Improving the response time analysis of global fixed-priority multiprocessor scheduling Y Sun, G Lipari, N Guan, W Yi Embedded and Real-Time Computing Systems and Applications (RTCSA), 2014 IEEE …, 2014 | 39 | 2014 |
| 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 | 31 | 2021 |
| Parametric schedulability analysis of fixed priority real-time distributed systems Y Sun, R Soulat, G Lipari, É André, L Fribourg Formal Techniques for Safety-Critical Systems, 212-228, 2014 | 30 | 2014 |
| Building better bit-blasting for floating-point problems M Brain, F Schanda, Y Sun Tools and Algorithms for the Construction and Analysis of Systems: 25th …, 2019 | 26 | 2019 |
| Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for the Norm W Ruan, M Wu, Y Sun, X Huang, D Kroening, M Kwiatkowska arXiv preprint arXiv:1804.05805, 2018 | 26 | 2018 |
| On the ineffectiveness of 1/m-based interference bounds in the analysis of global EDF and FIFO scheduling A Biondi, Y Sun Real-Time Systems 54, 515-536, 2018 | 25 | 2018 |
| Coverage-guided testing for recurrent neural networks W Huang, Y Sun, X Zhao, J Sharp, W Ruan, J Meng, X Huang IEEE Transactions on Reliability 71 (3), 1191-1206, 2021 | 24 | 2021 |
| Explaining Image Classifiers using Statistical Fault Localization Y Sun, H Chockler, X Huang, D Kroening ECCV, 2020 | 24 | 2020 |
| A survey of safety and trustworthiness of deep neural networks X Huang, D Kroening, W Ruan, J Sharp, Y Sun, E Thamo, M Wu, X Yi arXiv preprint arXiv:1812.08342, 2018 | 22 | 2018 |
| A weak simulation relation for real-time schedulability analysis of global fixed priority scheduling using linear hybrid automata Y Sun, G Lipari Proceedings of the 22nd International Conference on Real-Time Networks and …, 2014 | 22 | 2014 |
| Response time analysis with limited carry-in for global earliest deadline first scheduling Y Sun, G Lipari 2015 IEEE Real-Time Systems Symposium, 130-140, 2015 | 21 | 2015 |
| HyDiff: Hybrid differential software analysis Y Noller, CS Păsăreanu, M Böhme, Y Sun, HL Nguyen, L Grunske Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 20 | 2020 |
