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10/15/2021
Adversarial Attacks on ML Defense Models Competition
Due to the vulnerability of deep neural networks (DNNs) to adversarial e...
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10/13/2021
Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial Robustness
The vulnerability of deep neural networks to adversarial examples has mo...
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09/30/2021
You Cannot Easily Catch Me: A Low-Detectable Adversarial Patch for Object Detectors
Blind spots or outright deceit can bedevil and deceive machine learning ...
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09/13/2021
Improving Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator
Adversarial examples can deceive a deep neural network (DNN) by signific...
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08/25/2021