Embedded technologies like Intel Management Engine pose significant threats when, not if, they get exploited.Advanced attackers in possession of firmware signing keys, and even potential access to chip fabrication, could wreak untold havoc on cryptographic devices we rely on.Less well appreciated, however, is that machine learning can be susceptible to attack by, ironically, other machine learning models.In this talk, we demonstrate an AI agent trained through reinforcement learning to modify malware to evade machine learning malware detection.0 0ctane 0x00string A Aleph-Naught- Hyrum Anderson Ayoul3 Dor Azouri B Leonard Bailey (1, 2) Avi Bashan Ryan Baxendale Max Bazaliy Oleksandr Bazhaniuk Scott Behrens B1TKILL3R Steinthor Bjarnason Hanno Böck Daniel Bohannon (DBO) Francis Brown Elie Bursztein Shabid Buttar C Caezar Nick Cano Nate Cardozo Damien "virtualabs" Cauquil ceyx chaosdata Cheng CINCVol FLT CJ_000 Gil Cohen Tomer Cohen Romain Coltel Joshua Corman (1, 2) Dan Cvrcek D Christian "quaddi" Dameff MD MS Josh Datko Dark Tangent (1, 2) Patrick De Santis Andreas Dewes Roger Dingledine Cory Doctorow Christopher Domas E Chris Eagle Svea Eckert Omar Eissa El Kentaro Peyton "Foofus" Engel F Allan Friedman Joe Fitz Patrick Gus Fritschie Fuzzy Nop G Eva Galperin Denton Gentry ginsback Igal Gofman Chris Grayson Grifter H Jason Haddix Hawaii John Weston Hecker Jeremy Heffner Jason Hernandez High Wiz Kashmir Hill Lee Holmes (1, 2) Lin Huang Stephan Huber Rep.
He received his Ph D in Electrical Engineering (signal and image processing machine learning) from the University of Washington and BS/MS degrees from Brigham Young University.
The rise of Free and Open Source Software has led to more secure and heavily scrutinized cryptographic solutions.
However, below the surface of open source operating systems, strictly closed source firmware along with device driver blobs and closed system architecture prevent users from examining, understanding, and trusting the systems where they run their private computations.
Sean Kanuck (1, 2) Konstantinos Karagiannis Garry Kasparov Matt Knight William Knowles Artem Kondratenko Itzik Kotler Amit Klein L Logan Lamb Rep.
James Langevin (1, 2) David Latimer Michael Leibowitz Nick Leiserson Yves Le Provost Jun Li Xiangyu Liu M Jerod Mac Donald-Evoy Andrew Mac Pherson Caleb Madrigal Dhia Mahjoub Slava Makkaveev Major Malfunction Dennis Maldonado Malware Unicorn Manfred (@_EBFE) Thomas Mathew Andrea Matwyshyn Vasilios Mavroudis Maximus64 Michael C.