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08/16/2023
Classification Committee for Active Deep Object Detection
In object detection, the cost of labeling is much high because it needs ...
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07/27/2023
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World
Physical adversarial attacks have put a severe threat to DNN-based objec...
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07/26/2023
Defending Adversarial Patches via Joint Region Localizing and Inpainting
Deep neural networks are successfully used in various applications, but ...
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07/21/2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Viewpoint invariance remains challenging for visual recognition in the 3...
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07/15/2023
Unified Adversarial Patch for Cross-modal Attacks in the Physical World
Recently, physical adversarial attacks have been presented to evade DNNs...
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07/03/2023
Structured Network Pruning by Measuring Filter-wise Interactions
Structured network pruning is a practical approach to reduce computation...
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06/28/2023
Learning to Pan-sharpening with Memories of Spatial Details
Pan-sharpening, as one of the most commonly used techniques in remote se...
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06/28/2023
𝐂^2Former: Calibrated and Complementary Transformer for RGB-Infrared Object Detection
Object detection on visible (RGB) and infrared (IR) images, as an emergi...
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06/28/2023
Mitigating the Accuracy-Robustness Trade-off via Multi-Teacher Adversarial Distillation
Adversarial training is a practical approach for improving the robustnes...
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06/28/2023
Distributional Modeling for Location-Aware Adversarial Patches
Adversarial patch is one of the important forms of performing adversaria...
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06/28/2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks
Adversarial examples have raised widespread attention in security-critic...
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06/15/2023
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks in the Physical World
Adversarial attacks in the physical world, particularly patch attacks, p...
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06/06/2023
Revisiting the Trade-off between Accuracy and Robustness via Weight Distribution of Filters
Adversarial attacks have been proven to be potential threats to Deep Neu...
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04/01/2023
Improving Fast Adversarial Training with Prior-Guided Knowledge
Fast adversarial training (FAT) is an efficient method to improve robust...
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03/20/2023
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
3D object detection is an important task in autonomous driving to percei...
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03/17/2023
MedLocker: A Transferable Adversarial Watermarking for Preventing Unauthorized Analysis of Medical Image Dataset
The collection of medical image datasets is a demanding and laborious pr...
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12/26/2022
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
Adversarial patch is an important form of real-world adversarial attack ...
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11/03/2022
Physically Adversarial Attacks and Defenses in Computer Vision: A Survey
Although Deep Neural Networks (DNNs) have been widely applied in various...
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10/08/2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints
Recent studies have demonstrated that visual recognition models lack rob...
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09/28/2022
Translation, Scale and Rotation: Cross-Modal Alignment Meets RGB-Infrared Vehicle Detection
Integrating multispectral data in object detection, especially visible a...
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07/18/2022
Prior-Guided Adversarial Initialization for Fast Adversarial Training
Fast adversarial training (FAT) effectively improves the efficiency of s...
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03/25/2022
Improving Adversarial Transferability with Spatial Momentum
Deep Neural Networks (DNN) are vulnerable to adversarial examples. Altho...
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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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08/01/2021
An Effective and Robust Detector for Logo Detection
In recent years, intellectual property (IP), which represents literary, ...
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05/11/2021
Improving Adversarial Transferability with Gradient Refining
Deep neural networks are vulnerable to adversarial examples, which are c...
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04/14/2021
Meaningful Adversarial Stickers for Face Recognition in Physical World
Face recognition (FR) systems have been widely applied in safety-critica...
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11/12/2020
Automated Model Compression by Jointly Applied Pruning and Quantization
In the traditional deep compression framework, iteratively performing ne...
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10/28/2020
Object Hider: Adversarial Patch Attack Against Object Detectors
Deep neural networks have been widely used in many computer vision tasks...
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08/05/2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples
Recent research has demonstrated that adding some imperceptible perturba...
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08/01/2020
Efficient Adversarial Attacks for Visual Object Tracking
Visual object tracking is an important task that requires the tracker to...
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05/27/2020
Attention: to Better Stand on the Shoulders of Giants
Science of science (SciSci) is an emerging discipline wherein science is...
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01/11/2020
Sparse Black-box Video Attack with Reinforcement Learning
Adversarial attacks on video recognition models have been explored recen...
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11/21/2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models
We study the problem of attacking video recognition models in the black-...
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09/11/2019
Identifying and Resisting Adversarial Videos Using Temporal Consistency
Video classification is a challenging task in computer vision. Although ...
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05/29/2019
Automatic Realistic Music Video Generation from Segments of Youtube Videos
A Music Video (MV) is a video aiming at visually illustrating or extendi...
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11/30/2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Deep neural networks (DNNs) have been demonstrated to be vulnerable to a...
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11/30/2018
Transferable Adversarial Attacks for Image and Video Object Detection
Adversarial examples have been demonstrated to threaten many computer vi...
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11/06/2018
Modeling and Predicting Popularity Dynamics via Deep Learning Attention Mechanism
An ability to predict the popularity dynamics of individual items within...
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03/07/2018