| Correlations between deep neural network model coverage criteria and model quality S Yan, G Tao, X Liu, J Zhai, S Ma, L Xu, X Zhang Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 68 | 2020 |
| SLF: fuzzing without valid seed inputs W You, X Liu, S Ma, D Perry, X Zhang, B Liang 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 65 | 2019 |
| Stochfuzz: Sound and cost-effective fuzzing of stripped binaries by incremental and stochastic rewriting Z Zhang, W You, G Tao, Y Aafer, X Liu, X Zhang 2021 IEEE Symposium on Security and Privacy (SP), 659-676, 2021 | 36 | 2021 |
| SLF: fuzzing without valid seed inputs. In 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE) W You, X Liu, S Ma, D Perry, X Zhang, B Liang IEEE, 712ś723, 2019 | 17 | 2019 |
| Tensilefuzz: facilitating seed input generation in fuzzing via string constraint solving X Liu, W You, Z Zhang, X Zhang Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 4 | 2022 |
| ParDiff: Practical Static Differential Analysis of Network Protocol Parsers M Zheng, Q Shi, X Liu, X Xu, L Yu, C Liu, G Wei, X Zhang Proceedings of the ACM on Programming Languages 8 (OOPSLA1), 1208-1234, 2024 | | 2024 |
| FuzzInMem: Fuzzing Programs via In-memory Structures X Liu, W You, Y Ye, Z Zhang, J Huang, X Zhang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | | 2024 |
