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Morale Patch ArmoryMorale Patch Armory

Breaking Defense

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adversarial AI

AI, Cybersecurity, & The Data Trap: You Don’t Know Normal

Posted on September 4, 2019


“How do I even know what’s normal and what’s abnormal so I can detect anomalies? We simply don’t know,” says Dean Souleles, chief technology advisor for the Director of National Intelligence.

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adversarial AI artificial intelligence big data Billington Cybersecurity Summit cyber warfare cybersecurity Dean Souleles director of national intelligence DNI Gen. John Shanahan Lynne Parker networks Networks / Cyber Office of Science and Technology Policy

Attacking Artificial Intelligence: How To Trick The Enemy

Posted on February 6, 2019


Warner Brothers image

“Autonomy may look like an Achilles’ heel, and in a lot of ways it is” – but for both sides, DTRA’s Nick Wager said. “I think that’s as much opportunity as that is vulnerability. We are good at this… and we can be better than the threat.”

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acquisition adversarial AI artificial intelligence artificial stupidity Carnegie Mellon cyber warfare cybersecurity Defense Threat Reduction Agency DTRA DTRA internet of things JIDO Joint Improvised-Threat Defeat Organization Mike Kramer NDIA SOLIC 2019 Networks / Cyber Nick Wager robotics Shane Shaneman

Big Bad Data: Achilles’ Heel of Artificial Intelligence

Posted on November 13, 2018


http://cs.stanford.edu/people/karpathy/deepimagesent/

An adversary who has access to the dataset your AI trained on can figure out what its likely blind spots are, said Brian Sadler, a senior scientist at the Army Research Laboratory: “If I know your data, I can create ways to fake out your system.”

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Accelerated AI conference 2018 acquisition adversarial AI army Army Research Laboratory artificial intelligence big data Brian Sadler cyber warfare cybersecurity Deborah Frincke deception intelligence surveillance and reconnaissance ISR machine learning National Geospatial Intelligence Agency National Security Agency Networks / Cyber NGA nsa Randall Munroe Threats Todd Myers XKCD
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