Publications

Jianmin Guo, Quan Zhang, Yue Zhao, Heyuan Shi, Yu Jiang, Jiaguang Sun (2021). RNN-Test: Towards adversarial testing for recurrent neural network systems. In TSE.

Quan Zhang, Yifeng Ding, Yongqiang Tian, Jianmin Guo, Min Yuan, Yu Jiang (2021). AdvDoor: Adversarial backdoor attack of deep learning system. In ISSTA.

Dongning Ma, Jianmin Guo, Yu Jiang, Xun Jiao (2021). Hdtest: Differential fuzz testing of brain-inspired hyperdimensional computing. In DAC.

Jianmin Guo, Yue Zhao, Yu Jiang, Houbing Song (2020). Coverage Guided Differential Adversarial Testing of Deep Learning Systems. TNSE.

Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang (2019). Leopard: Identifying vulnerable code for vulnerability assessment through program metrics. In ICSE.

Jianmin Guo, Yu Jiang, Yue Zhao, Quan Chen, Jiaguang Sun (2018). Dlfuzz: Differential fuzzing testing of deep learning systems. In ESEC/FSE.

Yu Zhan, Ying Fu, Liang Huang, Jianmin Guo, Heyuan Shi, Houbing Song, Chao Hu (0001). Cube-evo: A query-efficient black-box attack on video classification system. In TIR.