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Adversarial Driving: Attacking End-to-End Autonomous Driving Systems


Mar 21, 2021
Han Wu, Wenjie Ruan

* 3 pages, 2 figures 

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Gradient-Guided Dynamic Efficient Adversarial Training


Mar 04, 2021
Fu Wang, Yanghao Zhang, Yanbin Zheng, Wenjie Ruan

* 14 pages, 8 figures 

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Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks


Jan 04, 2021
Yanghao Zhang, Fu Wang, Wenjie Ruan

* To appear in the Proceedings of the CIKM 2020 Workshops published by CEUR-WS 

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Generalizing Universal Adversarial Attacks Beyond Additive Perturbations


Oct 29, 2020
Yanghao Zhang, Wenjie Ruan, Fu Wang, Xiaowei Huang

* A short version of this work will appear in the ICDM 2020 conference proceedings 

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Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task


Oct 17, 2020
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal

* 12 pages, 18 figures 

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Is AI Model Interpretable to Combat with COVID? An Empirical Study on Severity Prediction Task


Sep 30, 2020
Han Wu, Wenjie Ruan, Jiangtao Wang, Dingchang Zheng, Shaolin Li, Jian Chen, Kunwei Li, Xiangfei Chai, Sumi Helal

* 12 pages, 18 figures 

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Towards the Quantification of Safety Risks in Deep Neural Networks


Sep 13, 2020
Peipei Xu, Wenjie Ruan, Xiaowei Huang

* 19 pages, 10 figures 

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CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis


Jul 17, 2020
Liantao Ma, Xinyu Ma, Junyi Gao, Chaohe Zhang, Zhihao Yu, Xianfeng Jiao, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang


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ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context


Nov 27, 2019
Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiantao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao


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AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration


Nov 27, 2019
Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma


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Safety and Trustworthiness of Deep Neural Networks: A Survey


Jan 18, 2019
Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska, Wenjie Ruan, Youcheng Sun, Emese Thamo, Min Wu, Xinping Yi

* The paper requires a significant upgrade, and since it could be completely different with its current version, we believe it is more suitable to withdraw 

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Concolic Testing for Deep Neural Networks


Aug 04, 2018
Youcheng Sun, Min Wu, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska, Daniel Kroening


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A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees


Jul 10, 2018
Min Wu, Matthew Wicker, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska


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Reachability Analysis of Deep Neural Networks with Provable Guarantees


May 06, 2018
Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska

* This is the long version of the conference paper accepted in IJCAI-2018. Github: https://github.com/TrustAI/DeepGO 

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Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm


Apr 16, 2018
Wenjie Ruan, Min Wu, Youcheng Sun, Xiaowei Huang, Daniel Kroening, Marta Kwiatkowska

* 39 Pages, Github: https://github.com/L0-TRE/L0-TRE 

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