b'Weiming Zhang'

Improved Image Matting via Real-time User Clicks and Uncertainty Estimation

Image matting is a fundamental and challenging problem in computer visio...
12/15/2020 ∙ by Tianyi Wei, et al. ∙ 11 ∙ share

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Identity-Driven DeepFake Detection

DeepFake detection has so far been dominated by “artifact-driven” method...
12/07/2020 ∙ by Xiaoyi Dong, et al. ∙ 9 ∙ share

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

Deep neural networks have made tremendous progress in 3D point-cloud rec...
11/01/2020 ∙ by Hang Zhou, et al. ∙ 9 ∙ share

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Passport-aware Normalization for Deep Model Protection

Despite tremendous success in many application scenarios, deep learning ...
10/29/2020 ∙ by Jie Zhang, et al. ∙ 0 ∙ share

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GreedyFool: Distortion-Aware Sparse Adversarial Attack

Modern deep neural networks(DNNs) are vulnerable to adversarial samples....
10/26/2020 ∙ by Xiaoyi Dong, et al. ∙ 0 ∙ share

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

Multi-task transfer learning based on pre-trained language encoders achi...
09/23/2020 ∙ by Sheng Zhang, et al. ∙ 0 ∙ share

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Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry

As an efficient watermark attack method, geometric distortions destroy t...
07/20/2020 ∙ by Zehua Ma, et al. ∙ 0 ∙ share

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DeepFaceLab: A simple, flexible and extensible face swapping framework

DeepFaceLab is an open-source deepfake system created by iperov for face...
05/12/2020 ∙ by Ivan Perov, et al. ∙ 17 ∙ share

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Model Watermarking for Image Processing Networks

Deep learning has achieved tremendous success in numerous industrial app...
02/25/2020 ∙ by Jie Zhang, et al. ∙ 14 ∙ share

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A Restrained Paillier Cryptosystem and Its Applications for Access Control of Common Secret

The modified Paillier cryptosystem has become extremely popular and appl...
12/19/2019 ∙ by Xiaojuan Dong, et al. ∙ 0 ∙ share

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Self-supervised Adversarial Training

Recent work has demonstrated that neural networks are vulnerable to adve...
11/15/2019 ∙ by Kejiang Chen, et al. ∙ 0 ∙ share

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Reversible Adversarial Example based on Reversible Image Transformation

At present there are many companies that take the most advanced Deep Neu...
11/06/2019 ∙ by Zhaoxia Yin, et al. ∙ 0 ∙ share

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

Modern deep neural networks are often vulnerable to adversarial samples....
08/14/2019 ∙ by Jiangfan Han, et al. ∙ 9 ∙ share

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Neural Machine Reading Comprehension: Methods and Trends

Machine Reading Comprehension (MRC), which requires the machine to answe...
07/02/2019 ∙ by Shanshan Liu, et al. ∙ 0 ∙ share

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Edge Federation: Towards an Integrated Service Provisioning Model

Edge computing is a promising computing paradigm for pushing the cloud s...
02/25/2019 ∙ by Xiaofeng Cao, et al. ∙ 0 ∙ share

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Data Exfiltration via Multipurpose RFID Cards and Countermeasures

Radio-frequency identification(RFID) technology is widely applied in dai...
02/02/2019 ∙ by Zheng Zhou, et al. ∙ 0 ∙ share

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Deflecting 3D Adversarial Point Clouds Through Outlier-Guided Removal

Neural networks are vulnerable to adversarial examples, which poses a th...
12/25/2018 ∙ by Hang Zhou, et al. ∙ 0 ∙ share

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Provably Secure Steganography on Generative Media

In this paper, we propose provably secure steganography on generative me...
11/09/2018 ∙ by Kejiang Chen, et al. ∙ 0 ∙ share

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Emerging Applications of Reversible Data Hiding

Reversible data hiding (RDH) is one special type of information hiding, ...
11/07/2018 ∙ by Dongdong Hou, et al. ∙ 0 ∙ share

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CAAD 2018: Iterative Ensemble Adversarial Attack

Deep Neural Networks (DNNs) have recently led to significant improvement...
11/07/2018 ∙ by Jiayang Liu, et al. ∙ 0 ∙ share

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

In this paper, we propose an improvement of Adversarial Transformation N...
11/03/2018 ∙ by Xiaoyi Dong, et al. ∙ 0 ∙ share

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Reversible Adversarial Examples

Deep Neural Networks have recently led to significant improvement in man...
11/01/2018 ∙ by Jiayang Liu, et al. ∙ 0 ∙ share

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Detecting Adversarial Examples Based on Steganalysis

Deep Neural Networks (DNNs) have recently led to significant improvement...
06/21/2018 ∙ by Jiayang Liu, et al. ∙ 0 ∙ share

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IREXF: Data Exfiltration from Air-gapped Networks by Infrared Remote Control Signals

he technology on infrared remote control is widely applied in human dail...
01/10/2018 ∙ by Zheng Zhou, et al. ∙ 0 ∙ share

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Enhanced Attacks on Defensively Distilled Deep Neural Networks

Deep neural networks (DNNs) have achieved tremendous success in many tas...
11/16/2017 ∙ by Yujia Liu, et al. ∙ 0 ∙ share

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Exfiltration of Data from Air-gapped Networks via Unmodulated LED Status Indicators

The light-emitting diode(LED) is widely used as an indicator on the info...
11/09/2017 ∙ by Zheng Zhou, et al. ∙ 0 ∙ share

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Weiming Zhang

Featured Co-authors

Xiaogang Wang

Jie Zhang

Ping Luo

Xin Zhang

Yan Li

Anders Søgaard

Nenghai Yu

Hui Wang

Dongdong Chen

Lu Yuan

Bo Zhou

Improved Image Matting via Real-time User Clicks and Uncertainty Estimation

Identity-Driven DeepFake Detection

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

Passport-aware Normalization for Deep Model Protection

GreedyFool: Distortion-Aware Sparse Adversarial Attack

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

Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry

DeepFaceLab: A simple, flexible and extensible face swapping framework

Model Watermarking for Image Processing Networks

A Restrained Paillier Cryptosystem and Its Applications for Access Control of Common Secret

Self-supervised Adversarial Training

Reversible Adversarial Example based on Reversible Image Transformation

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

Neural Machine Reading Comprehension: Methods and Trends

Edge Federation: Towards an Integrated Service Provisioning Model

Data Exfiltration via Multipurpose RFID Cards and Countermeasures

Deflecting 3D Adversarial Point Clouds Through Outlier-Guided Removal

Provably Secure Steganography on Generative Media

Emerging Applications of Reversible Data Hiding

CAAD 2018: Iterative Ensemble Adversarial Attack

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

Reversible Adversarial Examples

Detecting Adversarial Examples Based on Steganalysis

IREXF: Data Exfiltration from Air-gapped Networks by Infrared Remote Control Signals

Enhanced Attacks on Defensively Distilled Deep Neural Networks

Exfiltration of Data from Air-gapped Networks via Unmodulated LED Status Indicators