Adversarial machine learning, a technique that attempts to fool models with deceptive data, is a growing threat in the AI and machine learning research community. The most common reason is to cause a ...
Researchers at the University of Maryland have shown that cheap printed stickers placed on ordinary stop signs can reliably ...
The image recognition system installed in the autonomous driving system is a convenient one that automatically identifies road signs. However, as a result of experiments conducted by scientists ...
The field of adversarial attacks in natural language processing (NLP) concerns the deliberate introduction of subtle perturbations into textual inputs with the aim of misleading deep learning models, ...