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Tongliang Liu

Improving Adversarial Robustness via Mutual Information Estimation

Jul 25, 2022
Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu

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* This version has modified Eq.2 and its proof in the published version

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Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

Jun 18, 2022
Xiong Peng, Feng Liu, Jingfen Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han

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* Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2022)
* Accepted to KDD 2022 (Research Track)

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Multi-scale Cooperative Multimodal Transformers for Multimodal Sentiment Analysis in Videos

Jun 17, 2022
Lianyang Ma, Yu Yao, Tao Liang, Tongliang Liu

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Recent Advances for Quantum Neural Networks in Generative Learning

Jun 07, 2022
Jinkai Tian, Xiaoyu Sun, Yuxuan Du, Shanshan Zhao, Qing Liu, Kaining Zhang, Wei Yi, Wanrong Huang, Chaoyue Wang, Xingyao Wu, Min-Hsiu Hsieh, Tongliang Liu, Wenjing Yang, Dacheng Tao

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* The first two authors contributed equally to this work

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Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation

Jun 06, 2022
De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama

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* accepted by CVPR2022

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Robust Weight Perturbation for Adversarial Training

May 30, 2022
Chaojian Yu, Bo Han, Mingming Gong, Li Shen, Shiming Ge, Bo Du, Tongliang Liu

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* IJCAI2022

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