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.
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.
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.