Intel Joins Georgia Tech in DARPA Program to Mitigate Machine Learning Deception Attacks
April 09 2020 - 11:00AM
Business Wire
What’s New: Intel and the Georgia Institute of Technology
(Georgia Tech) announced today that they have been selected to lead
a Guaranteeing Artificial Intelligence (AI) Robustness against
Deception (GARD) program team for the Defense Advanced Research
Projects Agency (DARPA). Intel is the prime contractor in this
four-year, multimillion-dollar joint effort to improve
cybersecurity defenses against deception attacks on machine
learning (ML) models.
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Intel Labs members demonstrate an example
of artificial intelligence becoming confused by an adversarial
T-shirt. (Credit: Intel Corporation)
“Intel and Georgia Tech are working together
to advance the ecosystem’s collective understanding of and ability
to mitigate against AI and ML vulnerabilities. Through innovative
research in coherence techniques, we are collaborating on an
approach to enhance object detection and to improve the ability for
AI and ML to respond to adversarial attacks.” –Jason Martin,
principal engineer at Intel Labs and principal investigator for the
DARPA GARD program from Intel
Why It Matters: While rare, adversarial attacks attempt
to deceive, alter or corrupt the ML algorithm interpretation of
data. As AI and ML models are increasingly incorporated into
semi-autonomous and autonomous systems, it is critical to
continuously improve the stability, safety and security of
unexpected or deceptive interactions. For example, AI
misclassifications and misinterpretations at the pixel level could
lead to image misinterpretation and mislabeling scenarios, or
subtle modifications to real-world objects could confuse AI
perception systems. GARD will help AI and ML technologies become
better equipped to defend against potential future attacks.
The Details: Current defense efforts are designed to
protect against specific pre-defined adversarial attacks, but
remain vulnerable to attacks when tested outside their specified
design parameters. GARD intends to approach ML defense differently
– by developing broad-based defenses that address the numerous
possible attacks in given scenarios that could cause an ML model to
misclassify or misinterpret data. Due to its broad architectural
footprint and security leadership, Intel is uniquely positioned to
help drive innovations in AI and ML technology with a significant
stake in the outcome.
The goal of the GARD program is to establish theoretical ML
system foundations that will not only identify system
vulnerabilities and characterize properties to enhance system
robustness, but also promote the creation of effective defenses.
Through these program elements, GARD aims to create
deception-resistant ML technologies with stringent criteria for
evaluating their effectiveness.
What’s Next: In the first phase of GARD, Intel and
Georgia Tech are enhancing object detection technologies through
spatial, temporal and semantic coherence for both still images and
videos. Intel is committed to driving AI and ML innovation and
believes that working with skilled security researchers across the
globe is a crucial part of addressing potential security
vulnerabilities for the broader industry and our customers.
More Context: Defending Against Adversarial Artificial
Intelligence (DARPA Website) | Artificial Intelligence at Intel
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating
world-changing technology that enables global progress and enriches
lives. Inspired by Moore’s Law, we continuously work to advance the
design and manufacturing of semiconductors to help address our
customers’ greatest challenges. By embedding intelligence in the
cloud, network, edge and every kind of computing device, we unleash
the potential of data to transform business and society for the
better. To learn more about Intel’s innovations, go to
newsroom.intel.com and intel.com.
© Intel Corporation. Intel, the Intel logo and other Intel marks
are trademarks of Intel Corporation or its subsidiaries. Other
names and brands may be claimed as the property of others.
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Alexa Korkos 415-706-5783 Alexa.Korkos@intel.com
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