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Low-Complexity and Reliable Transforms for Physical Unclonable Functions.

, and . ICASSP, page 2807-2811. IEEE, (2020)

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Federated Learning with Local Differential Privacy: Trade-Offs Between Privacy, Utility, and Communication., , and . ICASSP, page 2650-2654. IEEE, (2021)Multiple Noisy Private Remote Source Observations for Secure Function Computation., , and . IACR Cryptol. ePrint Arch., (2022)Low-Complexity and Reliable Transforms for Physical Unclonable Functions., and . ICASSP, page 2807-2811. IEEE, (2020)Biometric and Physical Identifiers with Correlated Noise for Controllable Private Authentication., , and . ISIT, page 874-878. IEEE, (2020)Nested Tailbiting Convolutional Codes for Secrecy, Privacy, and Storage., , , and . IH&MMSec, page 79-89. ACM, (2020)Transmitter Actions for Secure Integrated Sensing and Communication., , and . IACR Cryptol. ePrint Arch., (2024)Quality of Service Guarantees for Physical Unclonable Functions., , and . WIFS, page 1-6. IEEE, (2021)Secure and Private Source Coding with Private Key and Decoder Side Information., , , and . ITW, page 226-231. IEEE, (2022)Secret-key binding to physical identifiers with reliability guarantees., , and . ICC, page 1-6. IEEE, (2017)Differential Privacy for Eye Tracking with Temporal Correlations., , , , and . CoRR, (2020)