Defeating Cognitive Sensors

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.