Explaining Knowledge Distillation by Quantifying the Knowledge. - Xu Cheng 005; Zhefan Rao; Yilan Chen 002; Quanshi Zhang (CVPR, 2020)

Rotation-Equivariant Neural Networks for Privacy Protection. - Hao Zhang 063; Yiting Chen 003; Haotian Ma; Xu Cheng 005; Qihan Ren; Liyao Xiang; Jie Shi; Quanshi Zhang (CoRR, 2020)

Interpreting Hierarchical Linguistic Interactions in DNNs. - Die Zhang; Huilin Zhou; Xiaoyi Bao; Da Huo 002; Ruizhao Chen; Xu Cheng 005; Hao Zhang 063; Mengyue Wu; Quanshi Zhang (CoRR, 2020)

Game-Theoretic Interactions of Different Orders. - Hao Zhang 063; Xu Cheng 005; Yiting Chen 003; Quanshi Zhang (CoRR, 2020)

Building Interpretable Interaction Trees for Deep NLP Models. - Die Zhang; Hao Zhang 063; Huilin Zhou; Xiaoyi Bao; Da Huo 002; Ruizhao Chen; Xu Cheng 005; Mengyue Wu; Quanshi Zhang (AAAI, 2021)

Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness. - Jie Ren 018; Die Zhang; Yisen Wang 001; Lu Chen; Zhanpeng Zhou; Yiting Chen 003; Xu Cheng 005; Xin Wang 108; Meng Zhou; Jie Shi; Quanshi Zhang (NeurIPS, 2021)

Game-theoretic Understanding of Adversarially Learned Features. - Jie Ren 018; Die Zhang; Yisen Wang 001; Lu Chen; Zhanpeng Zhou; Xu Cheng 005; Xin Wang 108; Yiting Chen 003; Jie Shi; Quanshi Zhang (CoRR, 2021)

A Game-Theoretic Taxonomy of Visual Concepts in DNNs. - Xu Cheng 005; Chuntung Chu; Yi Zheng; Jie Ren 018; Quanshi Zhang (CoRR, 2021)

A Hypothesis for the Aesthetic Appreciation in Neural Networks. - Xu Cheng 005; Xin Wang 108; Haotian Xue; Zhengyang Liang; Quanshi Zhang (CoRR, 2021)

Why Adversarial Training of ReLU Networks Is Difficult? - Xu Cheng 005; Hao Zhang 063; Yue Xin; Wen Shen 002; Jie Ren 018; Quanshi Zhang (CoRR, 2022)

Proving Common Mechanisms Shared by Twelve Methods of Boosting Adversarial Transferability. - Quanshi Zhang; Xin Wang 108; Jie Ren 018; Xu Cheng 005; Shuyun Lin; Yisen Wang 001; Xiangming Zhu 002 (CoRR, 2022)

Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. - Dongrui Liu; Huiqi Deng; Xu Cheng 005; Qihan Ren; Kangrui Wang; Quanshi Zhang (NeurIPS, 2023)

Network Transplanting for the Functionally Modular Architecture. - Quanshi Zhang; Xu Cheng 005; Xin Wang 108; Yu Yang 007; Yingnian Wu (PRCV (3), 2023)

Quantifying the Knowledge in a DNN to Explain Knowledge Distillation for Classification. - Quanshi Zhang; Xu Cheng 005; Yilan Chen 002; Zhefan Rao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Clarifying the Behavior and the Difficulty of Adversarial Training. - Xu Cheng 005; Hao Zhang 063; Yue Xin; Wen Shen 002; Quanshi Zhang (AAAI, 2024)

Layerwise Change of Knowledge in Neural Networks. - Xu Cheng 005; Lei Cheng 006; Zhaoran Peng; Yang Xu; Tian Han 001; Quanshi Zhang (ICML, 2024)

Interpretability of Neural Networks Based on Game-theoretic Interactions. - Huilin Zhou; Jie Ren 018; Huiqi Deng; Xu Cheng 005; Jinpeng Zhang; Quanshi Zhang (Mach. Intell. Res., 2024)