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How to Secure Our Future: Machine Learning Security with Gary McGraw

July 1, 2022 @ 7:00 PM - 8:00 PM

Machine Learning, the most popular form of Artificial Intelligence, appears to have made impressive progress on many tasks including image classification, machine translation, autonomous vehicle control, playing complex games including chess, Go, and Atari video games, and more. This has led to much breathless popular press coverage of Artificial Intelligence, and has elevated deep learning to an almost magical status in the eyes of many. ML, especially of the deep learning sort, is not magic, however.  ML has become so popular that its application, though often poorly understood and partially motivated by hype, is exploding. Whether you know it or not, you are very likely using machine learning technology today.  In my view, this is not necessarily a good thing. I am concerned with the systematic risk invoked by adopting ML in a haphazard fashion. Our research at the Berryville Institute of Machine Learning (BIIML) is focused on understanding and categorizing security engineering risks introduced by ML at the design level.  This talk, geared to a general audience of nontechnical people, focuses on the results of an architectural risk analysis (sometimes called a threat model) of ML systems in general.  A list of the top five (of 78 known) ML security risks will be presented.

 

BIO

Gary McGraw, Ph.D.

 

Gary McGraw is co-founder of the Berryville Institute of Machine Learning. He is a globally recognized authority on software security and the author of eight best selling books on this topic. His titles include Software Security, Exploiting Software, Building Secure Software, Java Security, Exploiting Online Games, and 6 other books; and he is editor of the Addison-Wesley Software Security series.  Dr. McGraw has also written over 100 peer-reviewed scientific publications. Gary serves on the Advisory Boards of Legit, Irius Risk, Maxmyinterest, Protopia AI, and Secure Code Warrior.  He has also served as a Board member of Cigital and Codiscope (acquired by Synopsys) and as Advisor to CodeDX (acquired by Synopsys), Black Duck (acquired by Synopsys), Dasient (acquired by Twitter), Fortify Software (acquired by HP), and Invotas (acquired by FireEye). Gary produced the monthly Silver Bullet Security Podcast for IEEE Security & Privacy magazine for thirteen years. His dual PhD is in Cognitive Science and Computer Science from Indiana University where he serves on the Dean’s Advisory Council for the Luddy School of Informatics, Computing, and Engineering.

https://garymcgraw.com

https://berryvilleiml.com

@cigitalgem

 

All proceeds from this program go to benefit FISH of Clarke County

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Times:

7:00-8:00 PM

 Ticket Prices & Info:
All Tickets are General Admission
$10.00

Tickets may be purchased in advance either online or by calling the Barns of Rose Hill Box Office at 540-955-2004 (Noon to 3:00 – Tuesday through Saturday). If you call when our Box Office is closed, please leave a message and we’ll return your call within 24 business hours. All sales are final. Exceptions for special circumstances may be made no later than 24 hours prior to performance.

Details

Date:
July 1, 2022
Time:
7:00 PM - 8:00 PM
Event Category:
Website:
https://www.eventbrite.com/e/brian-ganz-tickets-63126488025

Venue

Barns of Rose Hill
95 Chalmers Ct
Berryville, VA 22611 United States
View Venue Website

Organizer

Barns of Rose Hill
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