b'Yanbo Fan'

research

∙ 07/14/2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy

Data-poisoning based backdoor attacks aim to insert backdoor into models...

0 Zihao Zhu, et al. ∙

research

∙ 07/07/2023

NOFA: NeRF-based One-shot Facial Avatar Reconstruction

3D facial avatar reconstruction has been a significant research topic in...

0 Wangbo Yu, et al. ∙

research

∙ 06/01/2023

Robust Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers

Deep neural networks (DNNs) can be manipulated to exhibit specific behav...

0 Ruotong Wang, et al. ∙

research

∙ 04/27/2023

UCF: Uncovering Common Features for Generalizable Deepfake Detection

Deepfake detection remains a challenging task due to the difficulty of g...

0 Zhiyuan Yan, et al. ∙

research

∙ 04/24/2023

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization

Backdoor defense, which aims to detect or mitigate the effect of malicio...

0 Mingli Zhu, et al. ∙

research

∙ 01/16/2023

DPE: Disentanglement of Pose and Expression for General Video Portrait Editing

One-shot video-driven talking face generation aims at producing a synthe...

0 Youxin Pang, et al. ∙

research

∙ 11/28/2022

High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors

High-fidelity facial avatar reconstruction from a monocular video is a s...

0 Yunpeng Bai, et al. ∙

research

∙ 11/27/2022

Adversarial Rademacher Complexity of Deep Neural Networks

Deep neural networks are vulnerable to adversarial attacks. Ideally, a r...

0 Jiancong Xiao, et al. ∙

research

∙ 10/12/2022

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

Deep neural networks (DNNs) have been shown to be vulnerable to adversar...

14 Zeyu Qin, et al. ∙

research

∙ 10/03/2022

Stability Analysis and Generalization Bounds of Adversarial Training

In adversarial machine learning, deep neural networks can fit the advers...

0 Jiancong Xiao, et al. ∙

research

∙ 10/02/2022

Adaptive Smoothness-weighted Adversarial Training for Multiple Perturbations with Its Stability Analysis

Adversarial Training (AT) has been demonstrated as one of the most effec...

4 Jiancong Xiao, et al. ∙

research

∙ 10/02/2022

Understanding Adversarial Robustness Against On-manifold Adversarial Examples

Deep neural networks (DNNs) are shown to be vulnerable to adversarial ex...

0 Jiancong Xiao, et al. ∙

research

∙ 09/16/2022

A Large-scale Multiple-objective Method for Black-box Attack against Object Detection

Recent studies have shown that detectors based on deep models are vulner...

0 Siyuan Liang, et al. ∙

research

∙ 08/14/2022

HyP^2 Loss: Beyond Hypersphere Metric Space for Multi-label Image Retrieval

Image retrieval has become an increasingly appealing technique with broa...

0 Chengyin Xu, et al. ∙

research

∙ 06/06/2022

Fast Adversarial Training with Adaptive Step Size

While adversarial training and its variants have shown to be the most ef...

5 Zhichao Huang, et al. ∙

research

∙ 05/24/2022

Improving the Latent Space of Image Style Transfer

Existing neural style transfer researches have studied to match statisti...

0 Yunpeng Bai, et al. ∙

research

∙ 04/17/2022

VDTR: Video Deblurring with Transformer

Video deblurring is still an unsolved problem due to the challenging spa...

0 Mingdeng Cao, et al. ∙

research

∙ 04/06/2022

Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks

Deep neural networks have shown to be very vulnerable to adversarial exa...

0 Xu Han, et al. ∙

research

∙ 03/08/2022

StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pretrained StyleGAN

One-shot talking face generation aims at synthesizing a high-quality tal...

10 Fei Yin, et al. ∙

research

∙ 01/22/2022

Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection

Object detection has been widely used in many safety-critical tasks, suc...

0 Siyuan Liang, et al. ∙

research

∙ 09/20/2021

Robust Physical-World Attacks on Face Recognition

Face recognition has been greatly facilitated by the development of deep...

0 Xin Zheng, et al. ∙

research

∙ 09/02/2021

Regional Adversarial Training for Better Robust Generalization

Adversarial training (AT) has been demonstrated as one of the most promi...

0 Chuanbiao Song, et al. ∙

research

∙ 08/27/2021

DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis

Text-to-image synthesis refers to generating an image from a given text ...

4 Shulan Ruan, et al. ∙

research

∙ 04/23/2021

Theoretical Study of Random Noise Defense against Query-Based Black-Box Attacks

The query-based black-box attacks, which don't require any knowledge abo...

0 Zeyu Qin, et al. ∙

research

∙ 11/09/2020

Dual ResGCN for Balanced Scene GraphGeneration

Visual scene graph generation is a challenging task. Previous works have...

0 Jingyi Zhang, et al. ∙

research

∙ 06/15/2020

Efficient Black-Box Adversarial Attack Guided by the Distribution of Adversarial Perturbations

This work studied the score-based black-box adversarial attack problem, ...

0 Yan Feng, et al. ∙

research

∙ 05/12/2020

Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients

Adversarial examples have been well known as a serious threat to deep ne...

0 Chengcheng Ma, et al. ∙

research

∙ 03/16/2020

Toward Adversarial Robustness via Semi-supervised Robust Training

Adversarial examples have been shown to be the severe threat to deep neu...

4 Yiming Li, et al. ∙

research

∙ 02/26/2020

Controllable Descendant Face Synthesis

Kinship face synthesis is an interesting topic raised to answer question...

8 Yong Zhang, et al. ∙

research

∙ 05/10/2019

Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

In this work, we study the robustness of a CNN+RNN based image captionin...

0 Yan Xu, et al. ∙

research

∙ 01/07/2019

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

In existing visual representation learning tasks, deep convolutional neu...

0 Baoyuan Wu, et al. ∙

research

∙ 05/24/2017

Learning with Average Top-k Loss

In this work, we introduce the average top-k (AT_k) loss as a new ensemb...

0 Yanbo Fan, et al. ∙

research

∙ 05/22/2017

Robust Localized Multi-view Subspace Clustering

In multi-view clustering, different views may have different confidence ...

0 Yanbo Fan, et al. ∙

research

∙ 06/01/2016

Self-Paced Learning: an Implicit Regularization Perspective

Self-paced learning (SPL) mimics the cognitive mechanism of humans and a...

0 Yanbo Fan, et al. ∙

Yanbo Fan

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