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Search Space of Adversarial Perturbations against Image Filters
Recent findings have shown that deep learning systems are very weak to adversarial examples, an attack form that was altered by the attacker's intent to deceive the deep learning system.
Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
Deep neural networks are being applied in many tasks with encouraging results, and have often reached human-level performance.
Image Transformation can make Neural Networks more robust against Adversarial Examples
We found giving a rotation to an adversarial example image can defeat the effect of adversarial examples.
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