How AI Search Is Changing The Game—And What Brands Can Do About It

For over two decades, visibility in search meant fighting for page one on Google. That’s still an important goal, but now ...
IEEE

1+1>2: A Dual-Function Defense Framework for Adversarial Example Mitigation

Abstract: Current state-of-the-art plug-and-play countermeasures for mitigating adversarial examples (i.e., purification and detection) exhibit several fatal limitations, impeding their deployment in ...
IEEE

EvilHarmony: Stealthy Adversarial Attacks Against Black-Box Speech Recognition Systems

Automatic Speech Recognition (ASR) systems are vulnerable to adversarial examples (AEs), where small, carefully designed perturbations are added to original audio to mislead the systems into ...
Frontiers

MeetSafe: enhancing robustness against white-box adversarial examples

Convolutional neural networks (CNNs) are vulnerable to adversarial attacks in computer vision tasks. Current adversarial detections are ineffective against white-box attacks and inefficient when deep ...