Inspiration or Preparation?: Explaining Creativity in Scientific Enterprise. - Xinyang Zhang 001; Dashun Wang; Ting Wang 006 (CIKM, 2016)

Backdoor attacks against learning systems. - Yujie Ji; Xinyang Zhang 001; Ting Wang 006 (CNS, 2017)

Private, Yet Practical, Multiparty Deep Learning. - Xinyang Zhang 001; Shouling Ji; Hui Wang 013; Ting Wang 006 (ICDCS, 2017)

Modular Learning Component Attacks: Today's Reality, Tomorrow's Challenge. - Xinyang Zhang 001; Yujie Ji; Ting Wang 006 (CoRR, 2017)

Model-Reuse Attacks on Deep Learning Systems. - Yujie Ji; Xinyang Zhang 001; Shouling Ji; Xiapu Luo; Ting Wang 006 (CCS, 2018)

DeepClean: Data Cleaning via Question Asking. - Xinyang Zhang 001; Yujie Ji; Chanh Nguyen; Ting Wang 006 (DSAA, 2018)

Differentially Private Releasing via Deep Generative Model. - Xinyang Zhang 001; Shouling Ji; Ting Wang 006 (CoRR, 2018)

EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report). - Yujie Ji; Xinyang Zhang 001; Ting Wang 006 (CoRR, 2018)

Interpretable Deep Learning under Fire. - Xinyang Zhang 001; Ningfei Wang; Shouling Ji; Hua Shen; Ting Wang 006 (CoRR, 2018)

The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models. - Ren Pang; Xinyang Zhang 001; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Ting Wang 006 (CoRR, 2019)

A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models. - Ren Pang; Hua Shen; Xinyang Zhang 001; Shouling Ji; Yevgeniy Vorobeychik; Xiapu Luo; Alex X. Liu; Ting Wang 006 (CCS, 2020)

AdvMind: Inferring Adversary Intent of Black-Box Attacks. - Ren Pang; Xinyang Zhang 001; Shouling Ji; Xiapu Luo; Ting Wang 006 (KDD, 2020)

Interpretable Deep Learning under Fire. - Xinyang Zhang 001; Ningfei Wang; Hua Shen; Shouling Ji; Xiapu Luo; Ting Wang 006 (USENIX Security Symposium, 2020)

Trojaning Language Models for Fun and Profit. - Xinyang Zhang 001; Zheng Zhang; Ting Wang 006 (CoRR, 2020)

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. - Xinyang Zhang 001; Ren Pang; Shouling Ji; Fenglong Ma; Ting Wang 006 (AAAI, 2021)

Trojaning Language Models for Fun and Profit. - Xinyang Zhang 001; Zheng Zhang; Shouling Ji; Ting Wang 006 (EuroS&P, 2021)

Detecting Safety Problems of Multi-Sensor Fusion in Autonomous Driving. - Ziyuan Zhong; Zhisheng Hu; Shengjian Guo; Xinyang Zhang 001; Zhenyu Zhong; Baishakhi Ray (CoRR, 2021)

SimLane: A Risk-Orientated Benchmark for Lane Detection. - Xinyang Zhang 001; Zhisheng Hu; Shengjian Guo; Zhenyu Zhong; Kang Li 001 (DSN (Supplements), 2022)

Detecting multi-sensor fusion errors in advanced driver-assistance systems. - Ziyuan Zhong; Zhisheng Hu; Shengjian Guo; Xinyang Zhang 001; Zhenyu Zhong; Baishakhi Ray (ISSTA, 2022)

SoK: On the Semantic AI Security in Autonomous Driving. - Junjie Shen 001; Ningfei Wang; Ziwen Wan; Yunpeng Luo; Takami Sato; Zhisheng Hu; Xinyang Zhang 001; Shengjian Guo; Zhenyu Zhong; Kang Li 001; Ziming Zhao 001; Chunming Qiao; et al. (CoRR, 2022)