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Defeating Cognitive Sensors

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-20-C-0299
Agency Tracking Number: N193-143-0182
Amount: $140,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N193-143
Solicitation Number: 19.3
Solicitation Year: 2019
Award Year: 2020
Award Start Date (Proposal Award Date): 2020-01-23
Award End Date (Contract End Date): 2020-07-27
Small Business Information
P.O. Box 238
Wayne, PA 19087
United States
DUNS: 946893658
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Joseph G Teti
 Chief Scientist
 (610) 581-7940
Business Contact
 Joseph G. Teti
Phone: (610) 581-7940
Research Institution

Lambda Science, Inc. (LSI) will develop innovative and operationally effective approaches to exploit weaknesses (i.e., defeat) in an adversary’s cognitive sensing systems, and in doing so devise methods and techniques including CONOPS that protect our own cognitive radar and EW sensor systems. LSI will develop methods to construct adversarial examples and demonstrate their effectiveness to defeat ML architectures. The concept of adversarial sample transferability will be employed to quantify misclassification rates against ML methods. The Phase 1 effort will also develop and evaluate adversarial example detectors using a generalized threat model.

* Information listed above is at the time of submission. *

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