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Backdoor Attack against Speaker Verification

Oct 25, 2020
Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia

* The first two authors contributed equally to this work. 5 pages 

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JSRT: James-Stein Regression Tree

Oct 21, 2020
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia

* 7 pages 

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DPAttack: Diffused Patch Attacks against Universal Object Detection

Oct 16, 2020
Shudeng Wu, Tao Dai, Shu-Tao Xia

* 4 pages, 2 figures, CIKM Workshop 

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Open-sourced Dataset Protection via Backdoor Watermarking

Oct 12, 2020
Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia

* 6 pages 

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Improving Query Efficiency of Black-box Adversarial Attack

Sep 25, 2020
Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo

* Accepted to ECCV2020 

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Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning

Aug 21, 2020
Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia

* 9 pages. The first two authors contribute equally to this work. arXiv admin note: text overlap with arXiv:1903.05965 

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Backdoor Learning: A Survey

Aug 21, 2020
Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia

* 11 pages. A curated list of backdoor learning resources in this paper is presented in the Github Repo (https://github.com/THUYimingLi/backdoor-learning-resources). We will try our best to continuously maintain the repo 

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Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters

Jul 16, 2020
Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang

* 14pages (except appendix and reference), 9 figures, 3 tables 

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Matrix Smoothing: A Regularization for DNN with Transition Matrix under Noisy Labels

Mar 26, 2020
Xianbin Lv, Dongxian Wu, Shu-Tao Xia

* ICME 2020 

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Practical and Bilateral Privacy-preserving Federated Learning

Feb 25, 2020
Yan Feng, Xue Yang, Weijun Fang, Shu-Tao Xia, Xiaohu Tang

* Submitted to ICML 2020 

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Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

Feb 14, 2020
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma

* ICLR 2020 conference paper (spotlight) 

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Deep Flow Collaborative Network for Online Visual Tracking

Nov 05, 2019
Peidong Liu, Xiyu Yan, Yong Jiang, Shu-Tao Xia


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Visual Privacy Protection via Mapping Distortion

Nov 05, 2019
Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia


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Adversarial Defense Via Local Flatness Regularization

Oct 27, 2019
Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia

* 4 pages 

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Adaptive Regularization of Labels

Aug 15, 2019
Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Shu-Tao Xia


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Dimensionality-Driven Learning with Noisy Labels

Jul 31, 2018
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi Wijewickrema, James Bailey

* In Proceedings of the International Conference on Machine Learning (ICML), 2018 

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Iterative Learning with Open-set Noisy Labels

Mar 31, 2018
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

* CVPR2018-Spotlight 

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Unifying Decision Trees Split Criteria Using Tsallis Entropy

Aug 23, 2016
Yisen Wang, Chaobing Song, Shu-Tao Xia

* 6 pages, 2 figures 

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Nonextensive information theoretical machine

Apr 21, 2016
Chaobing Song, Shu-Tao Xia


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Bayesian linear regression with Student-t assumptions

Apr 15, 2016
Chaobing Song, Shu-Tao Xia


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