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07/14/2023
Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy
Data-poisoning based backdoor attacks aim to insert backdoor into models...
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07/07/2023
NOFA: NeRF-based One-shot Facial Avatar Reconstruction
3D facial avatar reconstruction has been a significant research topic in...
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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...
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04/27/2023
UCF: Uncovering Common Features for Generalizable Deepfake Detection
Deepfake detection remains a challenging task due to the difficulty of g...
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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...
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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...
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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...
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11/27/2022
Adversarial Rademacher Complexity of Deep Neural Networks
Deep neural networks are vulnerable to adversarial attacks. Ideally, a r...
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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...
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10/03/2022
Stability Analysis and Generalization Bounds of Adversarial Training
In adversarial machine learning, deep neural networks can fit the advers...
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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...
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10/02/2022
Understanding Adversarial Robustness Against On-manifold Adversarial Examples
Deep neural networks (DNNs) are shown to be vulnerable to adversarial ex...
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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...
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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...
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06/06/2022
Fast Adversarial Training with Adaptive Step Size
While adversarial training and its variants have shown to be the most ef...
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05/24/2022
Improving the Latent Space of Image Style Transfer
Existing neural style transfer researches have studied to match statisti...
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04/17/2022
VDTR: Video Deblurring with Transformer
Video deblurring is still an unsolved problem due to the challenging spa...
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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...
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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...
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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...
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09/20/2021
Robust Physical-World Attacks on Face Recognition
Face recognition has been greatly facilitated by the development of deep...
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09/02/2021
Regional Adversarial Training for Better Robust Generalization
Adversarial training (AT) has been demonstrated as one of the most promi...
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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 ...
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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...
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11/09/2020
Dual ResGCN for Balanced Scene GraphGeneration
Visual scene graph generation is a challenging task. Previous works have...
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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, ...
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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...
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03/16/2020
Toward Adversarial Robustness via Semi-supervised Robust Training
Adversarial examples have been shown to be the severe threat to deep neu...
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02/26/2020
Controllable Descendant Face Synthesis
Kinship face synthesis is an interesting topic raised to answer question...
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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...
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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...
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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...
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05/22/2017
Robust Localized Multi-view Subspace Clustering
In multi-view clustering, different views may have different confidence ...
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06/01/2016