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Simulated Adversarial Testing of Face Recognition Models


Jun 08, 2021
Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan Yuille, Stan Sclaroff


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Robust and Accurate Object Detection via Adversarial Learning


Mar 26, 2021
Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong

* CVPR 2021. Models are available at https://github.com/google/automl/tree/master/efficientdet/Det-AdvProp.md 

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Batch Normalization with Enhanced Linear Transformation


Nov 28, 2020
Yuhui Xu, Lingxi Xie, Cihang Xie, Jieru Mei, Siyuan Qiao, Wei Shen, Hongkai Xiong, Alan Yuille

* 12 pages. The code is available at https://github.com/yuhuixu1993/BNET 

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Shape-Texture Debiased Neural Network Training


Oct 12, 2020
Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie

* The code is available here: https://github.com/LiYingwei/ShapeTextureDebiasedTraining 

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Smooth Adversarial Training


Jun 25, 2020
Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le

* tech report 

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PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning


Apr 12, 2020
Chenglin Yang, Adam Kortylewski, Cihang Xie, Yinzhi Cao, Alan Yuille


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Neural Architecture Search for Lightweight Non-Local Networks


Apr 04, 2020
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan Yuille

* CVPR 2020. Project page: https://github.com/LiYingwei/AutoNL 

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Adversarial Examples Improve Image Recognition


Nov 21, 2019
Cihang Xie, Mingxing Tan, Boqing Gong, Jiang Wang, Alan Yuille, Quoc V. Le

* tech report; models are available at https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet 

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UPC: Learning Universal Physical Camouflage Attacks on Object Detectors


Sep 10, 2019
Lifeng Huang, Chengying Gao, Yuyin Zhou, Changqing Zou, Cihang Xie, Alan Yuille, Ning Liu

* Tech report; codes, models, and demos are available at https://mesunhlf.github.io/index_physical.html 

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Intriguing properties of adversarial training


Jun 10, 2019
Cihang Xie, Alan Yuille

* Tech report 

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Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses


Apr 01, 2019
Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille

* The code is available here: https://github.com/LiYingwei/Regional-Homogeneity 

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Learning Transferable Adversarial Examples via Ghost Networks


Dec 09, 2018
Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan Yuille


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Feature Denoising for Improving Adversarial Robustness


Dec 09, 2018
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He

* tech report 

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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library


Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

* Technical report for https://github.com/tensorflow/cleverhans 

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Improving Transferability of Adversarial Examples with Input Diversity


Jun 11, 2018
Cihang Xie, Zhishuai Zhang, Jianyu Wang, Yuyin Zhou, Zhou Ren, Alan Yuille

* Submitted to ECCV 2018, code available at https://github.com/cihangxie/DI-2-FGSM 

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Single-Shot Object Detection with Enriched Semantics


Apr 08, 2018
Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille


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Adversarial Attacks and Defences Competition


Mar 31, 2018
Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

* 36 pages, 10 figures 

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DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection under Partial Occlusion


Mar 29, 2018
Zhishuai Zhang, Cihang Xie, Jianyu Wang, Lingxi Xie, Alan L. Yuille


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Mitigating Adversarial Effects Through Randomization


Feb 28, 2018
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille

* To appear in ICLR 2018, code available at https://github.com/cihangxie/NIPS2017_adv_challenge_defense 

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Visual Concepts and Compositional Voting


Nov 13, 2017
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Yuyin Zhou, Vittal Premachandran, Jun Zhu, Lingxi Xie, Alan Yuille

* It is accepted by Annals of Mathematical Sciences and Applications 

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Detecting Semantic Parts on Partially Occluded Objects


Jul 25, 2017
Jianyu Wang, Cihang Xie, Zhishuai Zhang, Jun Zhu, Lingxi Xie, Alan Yuille

* Accepted to BMVC 2017 (13 pages, 3 figures) 

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Adversarial Examples for Semantic Segmentation and Object Detection


Jul 21, 2017
Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille

* To appear in ICCV 2017 

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Unsupervised learning of object semantic parts from internal states of CNNs by population encoding


Nov 12, 2016
Jianyu Wang, Zhishuai Zhang, Cihang Xie, Vittal Premachandran, Alan Yuille


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