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Jin Song Dong

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Adversarial Robustness of Deep Neural Networks: A Survey from a Formal Verification Perspective

Jun 24, 2022
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Zhe Hou, Yan Xiao, Yun Lin, Jin Song Dong

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Paoding: Supervised Robustness-preserving Data-free Neural Network Pruning

Apr 02, 2022
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo, Jin Song Dong

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A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement

Mar 21, 2022
Yuting Yang, Pei Huang, Juan Cao, Jintao Li, Yun Lin, Jin Song Dong, Feifei Ma, Jian Zhang

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DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training

Dec 31, 2021
Xianglin Yang, Yun Lin, Ruofan Liu, Zhenfeng He, Chao Wang, Jin Song Dong, Hong Mei

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* Accepted in AAAI'22

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Repairing Adversarial Texts through Perturbation

Dec 29, 2021
Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong

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Generalizing Neural Networks by Reflecting Deviating Data in Production

Oct 06, 2021
Yan Xiao, Yun Lin, Ivan Beschastnikh, Changsheng Sun, David S. Rosenblum, Jin Song Dong

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Automatic Fairness Testing of Neural Classifiers through Adversarial Sampling

Jul 29, 2021
Peixin Zhang, Jingyi Wang, Jun Sun, Xinyu Wang, Guoliang Dong, Xingen Wang, Ting Dai, Jin Song Dong

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There is Limited Correlation between Coverage and Robustness for Deep Neural Networks

Nov 14, 2019
Yizhen Dong, Peixin Zhang, Jingyi Wang, Shuang Liu, Jun Sun, Jianye Hao, Xinyu Wang, Li Wang, Jin Song Dong, Dai Ting

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Silas: High Performance, Explainable and Verifiable Machine Learning

Oct 03, 2019
Hadrien Bride, Zhe Hou, Jie Dong, Jin Song Dong, Ali Mirjalili

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