The security threat of adversarial machine learning is real. The Adversarial ML Threat Matrix provides guidelines that help detect and prevent attacks on machine learning systems.
What is machine learning data poisoning? Data poisoning attack target the training of machine learning algorithms and cause them to behave maliciously during inference.
While computer vision has become one of the most used technologies across the globe, computer vision models are not immune to threats. . One of the reasons for this threat is the underlying lack of robustness of the models. Indrajit Kar, who is the
Adversarial image scaling takes advantage of image resizing algorithms to fool machine learning algorithms.
Black-box adversarial reprogramming can repurpose neural networks for new tasks without having full access to the deep learning model.