A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning

Presented at DEF CON 28 (2020) Virtual, Aug. 7, 2020, 5:30 p.m. (30 minutes)

in recent years, deep-learning based side-channel attacks have been proven to be very effective and opened the door to automated implementation techniques. Building on this line of work, this talk explores how to take the approach a step further and showcases how to leverage the recent advance in AI explainability to quickly assess which parts of the implementation is responsible for the information. Through a concrete set by step example, we will showcase the promise of this approach, its limitations, and how it can be used today.

Presenters:

• Elie Bursztein - Google
  Elie Bursztein leads Google' security & anti-abuse research team. He has authored over fifty research papers in the field for which he was awarded 8 best papers awards and multiple industry distinctions including the Black Hat pwnie award. Born in Paris, he received a Ph.D. from ENS-cachan in 2008 before working at Stanford University and ultimately joining Google in 2011. @elie

Links:

• https://defcon.org/html/defcon-safemode/dc-safemode-speakers.html#Bursztein
• https://infocon.org/cons/DEF CON/DEF CON 28/DEF CON Safe Mode video and slides/DEF CON Safe Mode - Elie Bursztein - A Hacker’s Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning.mp4
• https://infocon.org/cons/DEF CON/DEF CON 28/DEF CON Safe Mode video and slides/DEF CON Safe Mode - Elie Bursztein - A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning - Q&A.mp4
• https://infocon.org/cons/DEF CON/DEF CON 28/DEF CON Safe Mode video and slides/DEF CON Safe Mode - Elie Bursztein - A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning.srt (subtitles)
• https://www.youtube.com/watch?v=oPHWLIo88b8

Similar Presentations:

• Black Hat USA 2020 Virtual / A Hacker's Guide to Reducing Side-Channel Attack Surfaces Using Deep-Learning
• Black Hat USA 2018 / Lowering the Bar: Deep Learning for Side Channel Analysis
• DEF CON 27 (2019) / A Hacker Guide To Deep-Learning Based Side Channel Attacks