Artificial Intelligence (AI) hacking is a growing communnity here at CypherCon. AI and machine learning is vulnerable to cyber attacks with it's core of modern AI—are rife with vulnerabilities. Attack code to exploit these vulnerabilities has already proliferated across the community while defensive techniques are young, limited, and struggling to keep up. Machine learning vulnerabilities permit hackers and attackers to manipulate the machine learning systems’ integrity (causing them to make mistakes), confidentiality (causing them to leak information), and availability (causing them to cease functioning). Where can hackers come into play to protect AI systems?
Jonathan Tomek & Cory Kujawski
Matthew Lange & Gary Lobermier
Ian McCullough (Cullah)
Richard Bird
Jared Peck
Mr. Jeff Man
Chris Merkel
Joe Mondloch
Robert Wagner
Ryan LaBouve
CypherCon 2.0
CypherCon 4.0
Daniel Creed
Josh Bressers
Lesley Carhart
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