Weiming Zhang

Passport-aware Normalization for Deep Model Protection

Nov 03, 2020
Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

* Fix typo error. To Appear in NeurIPs 2020, code at "https://github.com/ZJZAC/Passport-aware-Normalization"

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LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

Nov 01, 2020
Hang Zhou, Dongdong Chen, Jing Liao, Weiming Zhang, Kejiang Chen, Xiaoyi Dong, Kunlin Liu, Gang Hua, Nenghai Yu

* CVPR 2020, code available at: https://github.com/RyanHangZhou/LG-GAN

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GreedyFool: Distortion-Aware Sparse Adversarial Attack

Oct 26, 2020
Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen

* To appear in NeurIPS 2020, code: https://github.com/LightDXY/GreedyFool

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Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer

Sep 23, 2020
Sheng Zhang, Xin Zhang, Weiming Zhang, Anders Søgaard

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DeepFaceLab: A simple, flexible and extensible face swapping framework

May 20, 2020
Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr. Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, Weiming Zhang

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Model Watermarking for Image Processing Networks

Feb 25, 2020
Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, Nenghai Yu

* AAAI 2020

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Reversible Adversarial Example based on Reversible Image Transformation

Dec 05, 2019
Zhaoxia Yin, Hua Wang, Weiming Zhang

* The literature survey is inadequate, need a more comprehensive literature review

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Self-supervised Adversarial Training

Nov 15, 2019
Kejiang Chen, Hang Zhou, Yuefeng Chen, Xiaofeng Mao, Yuhong Li, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu

* Submitted to ICASSP 2020

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Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Aug 14, 2019
Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang

* Accepted by ICCV 2019

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Neural Machine Reading Comprehension: Methods and Trends

Jul 15, 2019
Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang

* 39 pages

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Deflecting 3D Adversarial Point Clouds Through Outlier-Guided Removal

Dec 25, 2018
Hang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu

* 10 pages, 8 figures, conference. arXiv admin note: text overlap with arXiv:1711.01991 by other authors

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Emerging Applications of Reversible Data Hiding

Nov 07, 2018
Dongdong Hou, Weiming Zhang, Jiayang Liu, Siyan Zhou, Dongdong Chen, Nenghai Yu

* ICIGP 2019

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CAAD 2018: Iterative Ensemble Adversarial Attack

Nov 07, 2018
Jiayang Liu, Weiming Zhang, Nenghai Yu

* arXiv admin note: text overlap with arXiv:1811.00189

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CAAD 2018: Powerful None-Access Black-Box Attack Based on Adversarial Transformation Network

Nov 03, 2018
Xiaoyi Dong, Weiming Zhang, Nenghai Yu

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Reversible Adversarial Examples

Nov 01, 2018
Jiayang Liu, Dongdong Hou, Weiming Zhang, Nenghai Yu

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Detection based Defense against Adversarial Examples from the Steganalysis Point ot View

Sep 07, 2018
Jiayang Liu, Weiming Zhang, Yiwei Zhang, Dongdong Hou, Yujia Liu, Hongyue Zha, Nenghai Yu

* 8 pages, 3 figures

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Enhanced Attacks on Defensively Distilled Deep Neural Networks

Nov 16, 2017
Yujia Liu, Weiming Zhang, Shaohua Li, Nenghai Yu

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