adversarial attack

Leveraging Temporal Dependency to Combat Audio Adversarial Attacks

A new approach to defend against adversarial attacks in non-image tasks, such as audio input and automatic speech recognition.

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Efficient Adversarial Robustness Evaluation of AI Models with Limited Access

IBM researchers present AutoZOOM, an efficient and practical tool for evaluating adversarial robustness of AI models with limited access.

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A CLEVER Way to Resist Adversarial Attack

New CLEVER scores can be used to compare the robustness of different neural networks against adversarial attack to help build more reliable AI systems.

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