b'Weiming Zhang'

research

∙ 01/25/2023

AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy

In the past few years, the widespread use of 3D printing technology enab...

Zehua Ma, et al. ∙

research

∙ 01/09/2023

VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum

With the rapid development of classical and quantum machine learning, a ...

Huanyu Bian, et al. ∙

research

∙ 12/12/2022

CLIP Itself is a Strong Fine-tuner: Achieving 85.7 Accuracy with ViT-B and ViT-L on ImageNet

Recent studies have shown that CLIP has achieved remarkable success in p...

Xiaoyi Dong, et al. ∙

research

∙ 12/07/2022

X-Paste: Revisit Copy-Paste at Scale with CLIP and StableDiffusion

Copy-Paste is a simple and effective data augmentation strategy for inst...

Hanqing Zhao, et al. ∙

research

∙ 12/05/2022

DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking

Audio watermarking is widely used for leaking source tracing. The robust...

Chang Liu, et al. ∙

research

∙ 11/29/2022

Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion

Deep 3D point cloud models are sensitive to adversarial attacks, which p...

Kui Zhang, et al. ∙

research

∙ 10/26/2022

Cover Reproducible Steganography via Deep Generative Models

Whereas cryptography easily arouses attacks by means of encrypting a sec...

Kejiang Chen, et al. ∙

research

∙ 09/16/2022

PointCAT: Contrastive Adversarial Training for Robust Point Cloud Recognition

Notwithstanding the prominent performance achieved in various applicatio...

Qidong Huang, et al. ∙

research

∙ 08/25/2022

MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining

This paper presents a simple yet effective framework MaskCLIP, which inc...

Xiaoyi Dong, et al. ∙

research

∙ 07/14/2022

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

We propose bootstrapped masked autoencoders (BootMAE), a new approach fo...

Xiaoyi Dong, et al. ∙

research

∙ 06/27/2022

De-END: Decoder-driven Watermarking Network

With recent advances in machine learning, researchers are now able to so...

Han Fang, et al. ∙

research

∙ 04/25/2022

Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images

Digital watermarking has been widely studied for the protection of intel...

Zhaoyang Jia, et al. ∙

research

∙ 04/19/2022

Invertible Mask Network for Face Privacy-Preserving

Face privacy-preserving is one of the hotspots that arises dramatic inte...

Yang Yang, et al. ∙

research

∙ 03/08/2022

Shape-invariant 3D Adversarial Point Clouds

Adversary and invisibility are two fundamental but conflict characters o...

Qidong Huang, et al. ∙

research

∙ 03/02/2022

Protecting Celebrities with Identity Consistency Transformer

In this work we propose Identity Consistency Transformer, a novel face f...

Xiaoyi Dong, et al. ∙

research

∙ 03/02/2022

Self-supervised Transformer for Deepfake Detection

The fast evolution and widespread of deepfake techniques in real-world s...

Hanqing Zhao, et al. ∙

research

∙ 12/15/2021

Tracing Text Provenance via Context-Aware Lexical Substitution

Text content created by humans or language models is often stolen or mis...

Xi Yang, et al. ∙

research

∙ 12/09/2021

HairCLIP: Design Your Hair by Text and Reference Image

Hair editing is an interesting and challenging problem in computer visio...

Tianyi Wei, et al. ∙

research

∙ 11/24/2021

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

This paper explores a better codebook for BERT pre-training of vision tr...

Xiaoyi Dong, et al. ∙

research

∙ 10/19/2021

Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition

As an effective method for intellectual property (IP) protection, model ...

Haozhe Chen, et al. ∙

research

∙ 10/17/2021

Improving Dither Modulation based Robust Steganography by Overflow Suppression

Nowadays, people are sharing their pictures on online social networks (O...

Kai Zeng, et al. ∙

research

∙ 09/15/2021

Deep 3D Mesh Watermarking with Self-Adaptive Robustness

Robust 3D mesh watermarking is a traditional research topic in computer ...

Feng Wang, et al. ∙

research

∙ 08/18/2021

MBRS : Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression

Based on the powerful feature extraction ability of deep learning archit...

Zhaoyang Jia, et al. ∙

research

∙ 08/05/2021

Poison Ink: Robust and Invisible Backdoor Attack

Recent research shows deep neural networks are vulnerable to different t...

Jie Zhang, et al. ∙

research

∙ 08/05/2021

Exploring Structure Consistency for Deep Model Watermarking

The intellectual property (IP) of Deep neural networks (DNNs) can be eas...

Jie Zhang, et al. ∙

research

∙ 07/01/2021

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

We present CSWin Transformer, an efficient and effective Transformer-bas...

Xiaoyi Dong, et al. ∙

research

∙ 04/20/2021

Three-Dimensional Mesh Steganography and Steganalysis: A Review

Three-dimensional (3-D) meshes are commonly used to represent virtual su...

Hang Zhou, et al. ∙

research

∙ 04/15/2021

A Simple Baseline for StyleGAN Inversion

This paper studies the problem of StyleGAN inversion, which plays an ess...

Tianyi Wei, et al. ∙

research

∙ 04/09/2021

Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication

Deep convolutional neural networks have made outstanding contributions i...

Xiquan Guan, et al. ∙

research

∙ 03/10/2021

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks

Real-world data usually have high dimensionality and it is important to ...

Xiang Wang, et al. ∙

research

∙ 03/08/2021

Deep Model Intellectual Property Protection via Deep Watermarking

Despite the tremendous success, deep neural networks are exposed to seri...

Jie Zhang, et al. ∙

research

∙ 03/03/2021

Multi-attentional Deepfake Detection

Face forgery by deepfake is widely spread over the internet and has rais...

Hanqing Zhao, et al. ∙

research

∙ 03/02/2021

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

The remarkable success in face forgery techniques has received considera...

Honggu Liu, et al. ∙

research

∙ 03/02/2021

A Brief Survey on Deep Learning Based Data Hiding, Steganography and Watermarking

Data hiding is the art of concealing messages with limited perceptual ch...

Chaoning Zhang, et al. ∙

research

∙ 02/23/2021

Adversarial Examples Detection beyond Image Space

Deep neural networks have been proved that they are vulnerable to advers...

Kejiang Chen, et al. ∙

research

∙ 12/15/2020

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

Image matting is a fundamental and challenging problem in computer visio...

Tianyi Wei, et al. ∙

research

∙ 12/07/2020

Identity-Driven DeepFake Detection

DeepFake detection has so far been dominated by “artifact-driven” method...

Xiaoyi Dong, et al. ∙

research

∙ 11/01/2020

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...

Hang Zhou, et al. ∙

research

∙ 10/29/2020

Passport-aware Normalization for Deep Model Protection

Despite tremendous success in many application scenarios, deep learning ...

Jie Zhang, et al. ∙

research

∙ 10/26/2020

GreedyFool: Distortion-Aware Sparse Adversarial Attack

Modern deep neural networks(DNNs) are vulnerable to adversarial samples....

Xiaoyi Dong, et al. ∙

research

∙ 09/23/2020

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

Multi-task transfer learning based on pre-trained language encoders achi...

Sheng Zhang, et al. ∙

research

∙ 07/20/2020

Local Geometric Distortions Resilient Watermarking Scheme Based on Symmetry

As an efficient watermark attack method, geometric distortions destroy t...

Zehua Ma, et al. ∙

research

∙ 05/12/2020

DeepFaceLab: A simple, flexible and extensible face swapping framework

DeepFaceLab is an open-source deepfake system created by iperov for face...

Ivan Perov, et al. ∙

research

∙ 02/25/2020

Model Watermarking for Image Processing Networks

Deep learning has achieved tremendous success in numerous industrial app...

Jie Zhang, et al. ∙

research

∙ 12/19/2019

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

The modified Paillier cryptosystem has become extremely popular and appl...

Xiaojuan Dong, et al. ∙

research

∙ 11/15/2019

Self-supervised Adversarial Training

Recent work has demonstrated that neural networks are vulnerable to adve...

Kejiang Chen, et al. ∙

research

∙ 11/06/2019

Reversible Adversarial Example based on Reversible Image Transformation

At present there are many companies that take the most advanced Deep Neu...

Zhaoxia Yin, et al. ∙

research

∙ 08/14/2019

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

Modern deep neural networks are often vulnerable to adversarial samples....

Jiangfan Han, et al. ∙

research

∙ 07/02/2019

Neural Machine Reading Comprehension: Methods and Trends

Machine Reading Comprehension (MRC), which requires the machine to answe...

Shanshan Liu, et al. ∙

research

∙ 02/25/2019

Edge Federation: Towards an Integrated Service Provisioning Model

Edge computing is a promising computing paradigm for pushing the cloud s...

Xiaofeng Cao, et al. ∙

Weiming Zhang

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