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ECE Seminars & Athena Distinguished Speaker – Urbashi Mitra

Abstract: Securing signals from unintended eavesdroppers has become an increasingly important problem with the emergence of the Internet-of-Things. Herein, we examine learning problems in signal processing that are inherently hard […]

Mar 22

March 22, 2024

2:30 pm - 2:30 pm

  • Fitzpatrick Center Schiciano Auditorium Side A, room 1464

Abstract: Securing signals from unintended eavesdroppers has become an increasingly important problem with the emergence of the Internet-of-Things. Herein, we examine learning problems in signal processing that are inherently hard without key side information. In particular, we exploit necessary resolution limits for classical compressed sensing problems. To limit an eavesdropper’s capabilities, we create an environment for the eavesdropper wherein the appropriate compressed sensing algorithm would provably fail. The intended receiver overcomes this ill-posed problem by leveraging secret side information shared between the intended transmitter and receiver. Two scenarios are considered: one for communication over a wireless channel where a novel block-sparsity based signaling strategy is employed and one for localization where novel structured noise is introduced to degrade the form of the eavesdropper’s channel. In the latter scenario, the transmitter designs a beamformer that introduces spurious paths, or spoofs the line-of-sight path, in the channel without having access to the channel state information. Both far-field and near-field cases are considered for the private localization. In both private communication and private localization, the amount of secret information that must be shared is very modest. Theoretical guarantees can be provided for both cases. Proposed algorithms are validated via numerical results.
Biography: Urbashi Mitra received the B.S. and the M.S. degrees from the University of California at Berkeley and her Ph.D. from Princeton University. She began her academic career at Ohio State University. Dr. Mitra is currently the Gordon S. Marshall Professor in Engineering at the University of Southern California with appointments in Electrical Engineering and Computer Science. Dr. Mitra is a Fellow of the IEEE. She was the inaugural Editor-in-Chief for the IEEE Transactions on Molecular, Biological and Multi-scale Communications. Dr. Mitra has served as an Associate or Area Editor for multiple IEEE publications. Dr. Mitra was a member of the IEEE Information Theory Society’s Board of Governors (2002-2007, 2012-2017), the IEEE Signal Processing Society’s Technical Committee on Signal Processing for Communications and Networks (2012-2017, Vice-Chair 2024), the IEEE Signal Processing Society’s Awards Board (2017-2018), and the Chair/Vice Chair of the IEEE Communications Society, Communication Theory Technical Committee (2017-2020).