Physical world adversarial attack is a highly practical and threatening
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Adversarial attacks are valuable for evaluating the robustness of deep
l...
Recently, adversarial attacks for audio recognition have attracted much
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Billions of people are sharing their daily life images on social media e...
To operate in real-world high-stakes environments, deep learning systems...
Crowd counting, which is significantly important for estimating the numb...
Deep neural networks (DNNs) are vulnerable to adversarial noises, which
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Recently, generative data-free quantization emerges as a practical appro...
Prohibited items detection in X-ray images often plays an important role...
Deep learning models are vulnerable to adversarial examples. As a more
t...
Deep neural networks (DNNs) have achieved remarkable performance across ...
Adversarial examples are inputs with imperceptible perturbations that ea...