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Human Pose and Shape Estimation from Single Polarization Images


Aug 15, 2021
Shihao Zou, Xinxin Zuo, Sen Wang, Yiming Qian, Chuan Guo, Wei Ji, Jingjing Li, Minglun Gong, Li Cheng

* Submitted to IEEE TIP 

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EventHPE: Event-based 3D Human Pose and Shape Estimation


Aug 15, 2021
Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng

* ICCV 2021 

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Online Adaptation to Label Distribution Shift


Jul 09, 2021
Ruihan Wu, Chuan Guo, Yi Su, Kilian Q. Weinberger


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Byzantine-Robust and Privacy-Preserving Framework for FedML


May 05, 2021
Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram

* Security and Safety in Machine Learning Systems Workshop in ICLR 2021 

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Gradient-based Adversarial Attacks against Text Transformers


Apr 15, 2021
Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, Douwe Kiela


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Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems


Mar 22, 2021
Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten


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Measuring Data Leakage in Machine-Learning Models with Fisher Information


Feb 23, 2021
Awni Hannun, Chuan Guo, Laurens van der Maaten


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Making Paper Reviewing Robust to Bid Manipulation Attacks


Feb 22, 2021
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger


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Action2Motion: Conditioned Generation of 3D Human Motions


Jul 30, 2020
Chuan Guo, Xinxin Zuo, Sen Wang, Shihao Zou, Qingyao Sun, Annan Deng, Minglun Gong, Li Cheng

* 13 pages, ACM MultiMedia 2020 

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TrojanNet: Embedding Hidden Trojan Horse Models in Neural Networks


Feb 24, 2020
Chuan Guo, Ruihan Wu, Kilian Q. Weinberger


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Secure multiparty computations in floating-point arithmetic


Jan 09, 2020
Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu

* 31 pages, 13 figures, 6 tables 

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Certified Data Removal from Machine Learning Models


Nov 11, 2019
Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten

* Submitted to AISTATS 2020 

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A New Defense Against Adversarial Images: Turning a Weakness into a Strength


Oct 16, 2019
Tao Yu, Shengyuan Hu, Chuan Guo, Wei-Lun Chao, Kilian Q. Weinberger

* *: Equal Contribution, 14 pages 

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Simple Black-box Adversarial Attacks


May 17, 2019
Chuan Guo, Jacob R. Gardner, Yurong You, Andrew Gordon Wilson, Kilian Q. Weinberger

* Published at ICML 2019 

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AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets


Apr 17, 2019
Xiaosen Wang, Kun He, Chuan Guo, Kilian Q. Weinberger, John E. Hopcroft

* We want to withdraw as the current version is not comfirmed by all authors. We will later on submit an improved version with all authors' approval 

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Exploiting Emotions for Fake News Detection on Social Media


Mar 05, 2019
Chuan Guo, Juan Cao, Xueyao Zhang, Kai Shu, Miao Yu

* 7 pages, 6 figures 

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Low Frequency Adversarial Perturbation


Sep 24, 2018
Chuan Guo, Jared S. Frank, Kilian Q. Weinberger

* 8 pages, 8 figures. Submitted to AAAI 2019 

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An empirical study on evaluation metrics of generative adversarial networks


Aug 17, 2018
Qiantong Xu, Gao Huang, Yang Yuan, Chuan Guo, Yu Sun, Felix Wu, Kilian Weinberger

* arXiv admin note: text overlap with arXiv:1802.03446 by other authors 

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Countering Adversarial Images using Input Transformations


Jan 25, 2018
Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten

* 12 pages, 6 figures, submitted to ICLR 2018 

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On Calibration of Modern Neural Networks


Aug 03, 2017
Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger

* ICML 2017 

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