Fast Adversarial Training (FAT) not only improves the model robustness b...
Developing a practically-robust automatic speech recognition (ASR) is
ch...
Fast adversarial training (FAT) is an efficient method to improve robust...
Contrastive Language-Image Pre-trained (CLIP) models have zero-shot abil...
Recent studies have shown that detectors based on deep models are vulner...
Currently, deep neural networks (DNNs) are widely adopted in different
a...
Fast adversarial training (FAT) effectively improves the efficiency of
s...
As a common security tool, visible watermarking has been widely applied ...
Adversarial training (AT) is always formulated as a minimax problem, of ...
Obtaining a well-trained model involves expensive data collection and
tr...
Adversarial training (AT) has been demonstrated to be effective in impro...
In recent years, intellectual property (IP), which represents literary,
...
Recent research has demonstrated that adding some imperceptible perturba...
Video classification is a challenging task in computer vision. Although ...
Deep neural networks (DNNs) have been demonstrated to be vulnerable to
a...