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08/22/2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging
Fast Adversarial Training (FAT) not only improves the model robustness b...
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07/24/2023
Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training
Developing a practically-robust automatic speech recognition (ASR) is ch...
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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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11/29/2022
Context-Aware Robust Fine-Tuning
Contrastive Language-Image Pre-trained (CLIP) models have zero-shot abil...
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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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08/04/2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Currently, deep neural networks (DNNs) are widely adopted in different 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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07/17/2022
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
As a common security tool, visible watermarking has been widely applied ...
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03/13/2022
LAS-AT: Adversarial Training with Learnable Attack Strategy
Adversarial training (AT) is always formulated as a minimax problem, of ...
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12/07/2021
Defending against Model Stealing via Verifying Embedded External Features
Obtaining a well-trained model involves expensive data collection and tr...
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10/11/2021
Boosting Fast Adversarial Training with Learnable Adversarial Initialization
Adversarial training (AT) has been demonstrated to be effective in impro...
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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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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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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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11/30/2018
