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07/02/2023
Query-Efficient Decision-based Black-Box Patch Attack
Deep neural networks (DNNs) have been showed to be highly vulnerable to ...
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05/26/2023
OpenVIS: Open-vocabulary Video Instance Segmentation
We propose and study a new computer vision task named open-vocabulary vi...
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05/18/2023
Content-based Unrestricted Adversarial Attack
Unrestricted adversarial attacks typically manipulate the semantic conte...
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04/26/2023
Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography
Purpose: Middle ear infection is the most prevalent inflammatory disease...
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03/21/2023
Context De-confounded Emotion Recognition
Context-Aware Emotion Recognition (CAER) is a crucial and challenging ta...
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03/21/2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition
Although Deep Neural Networks (DNNs) have demonstrated excellent perform...
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03/21/2023
Model Robustness Meets Data Privacy: Adversarial Robustness Distillation without Original Data
Large-scale deep learning models have achieved great performance based o...
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02/17/2023
Explicit and Implicit Knowledge Distillation via Unlabeled Data
Data-free knowledge distillation is a challenging model lightweight task...
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11/21/2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Deep neural networks are vulnerable to adversarial examples, which attac...
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11/18/2022
LVOS: A Benchmark for Long-term Video Object Segmentation
Existing video object segmentation (VOS) benchmarks focus on short-term ...
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03/16/2022
Towards Practical Certifiable Patch Defense with Vision Transformer
Patch attacks, one of the most threatening forms of physical attack in a...
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03/14/2022
Efficient universal shuffle attack for visual object tracking
Recently, adversarial attacks have been applied in visual object trackin...
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05/23/2021
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Malicious application of deepfakes (i.e., technologies can generate targ...
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03/23/2021