TNO drives the future of secure AI - researching, designing, and testing cutting-edge cybersecurity solutions for next-gen ...

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 ...

This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

All U.S. soldiers and Army civilian employees must report to the service any offers for secondary employment or requests to participate in academic projects amid an uptick in adversary efforts to ...

Copilot’s limitations are ever-present, and it can lead you astray on even the basics. If you buy something from a Verge link, Vox Media may earn a commission. See our ethics statement. is a reviewer ...

Hegseth warns America’s ‘real adversary’ is inside the Pentagon The secretary of war says the department’s own bureaucracy has become a “bastion of central planning” that threatens U.S. readiness more ...

The secretary of war says the department’s own bureaucracy has become a “bastion of central planning” that threatens U.S. readiness more than any foreign power. (Credit: War Department via X) Major ...

Abstract: Deep Neural Networks (DNNs) have achieved tremendous success in various computer vision tasks but remain highly vulnerable to adversarial examples. To address this limitation, we investigate ...

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...

Cyber criminals and nation-states hostile to Western countries are weaponising artificial intelligence (AI) with gusto to carry out attacks and targeting AI agents as a novel attack vector, according ...