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 ...

Your security tools say everything’s fine, but attackers still get through. Despite years of investment in firewalls, endpoint protection, SIEMs, and other layered defenses, most organizations still ...

Autonomous Vehicles Authors, Creators & Presenters: Ningfei Wang (University of California, Irvine), Shaoyuan Xie (University of California, Irvine), Takami Sato (University of California, Irvine), ...

A report by CrowdStrike shows cybercrime groups are outpacing security teams and increasingly abusing legitimate tools.

The final guidance for defending against adversarial machine learning offers specific solutions for different attacks, but warns current mitigation is still developing. NIST Cyber Defense The final ...

Adversarial AI exploits model vulnerabilities by subtly altering inputs (like images or code) to trick AI systems into misclassifying or misbehaving. These attacks often evade detection because they ...

We collaborate with the world's leading lawyers to deliver news tailored for you. Sign Up for any (or all) of our 25+ Newsletters. Some states have laws and ethical rules regarding solicitation and ...

AI has revolutionized the way we innovate and solve problems, but its transformative potential comes with vulnerabilities that adversaries can exploit with unprecedented speed and precision, creating ...

A new report has revealed that open-weight large language models (LLMs) have remained highly vulnerable to adaptive multi-turn adversarial attacks, even when single-turn defenses appear robust. The ...

Lily is a Senior Editor at BizTech Magazine. She follows tech trends, thought leadership and data analytics. Todd Felker, executive healthcare strategist at CrowdStrike, said the rise of social ...