Threat actors have several ways to fool or exploit artificial intelligence and machine learning systems and models, but you can defend against their tactics. As more companies roll out artificial ...

Louise Matsakis covers cybersecurity, internet law, and online culture for WIRED. Now, a leading group of researchers from MIT have found a different answer, in a paper that was presented earlier this ...

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 ...

What should people new to the field know about adversarial machine learning? originally appeared on Quora - the place to gain and share knowledge, empowering people to learn from others and better ...

Machine learning, for all its benevolent potential to detect cancers and create collision-proof self-driving cars, also threatens to upend our notions of what's visible and hidden. It can, for ...

Seemant Sehgal is Founder & CEO of BreachLock Inc., a leader in Continuous Attack Surface Discovery & Penetration Testing as a Service. Offensive security strategies are now a top business priority ...

Imagine the following scenarios: An explosive device, an enemy fighter jet and a group of rebels are misidentified as a cardboard box, an eagle or a sheep herd. A lethal autonomous weapons system ...

According to the RAND Corporation, a longtime mainstay of the military establishment, "cyber warfare involves the actions by a nation-state or international organization to attack and attempt to ...