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A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance.

, , , , and . ASP-DAC, page 627-632. ACM, (2019)

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Cryptanalysis of Composite PUFs (Extended abstract-invited talk)., , , and . VDAT, page 1-2. IEEE, (2014)The Interpose PUF: Secure PUF Design against State-of-the-art Machine Learning Attacks., , , , , and . IACR Trans. Cryptogr. Hardw. Embed. Syst., 2019 (4): 243-290 (2019)Tutorial T7: Physically Unclonable Function: A Promising Security Primitive for Internet of Things., , , and . VLSID, page 14-15. IEEE Computer Society, (2015)Efficient attacks on robust ring oscillator PUF with enhanced challenge-response set., , , and . DATE, page 641-646. ACM, (2015)Trustworthy proofs for sensor data using FPGA based physically unclonable functions., , , and . DATE, page 1504-1507. IEEE, (2018)Architectural Bias: a Novel Statistical Metric to Evaluate Arbiter PUF Variants., , , and . IACR Cryptology ePrint Archive, (2016)Lightweight and Secure PUFs: A Survey (Invited Paper)., and . SPACE, volume 8804 of Lecture Notes in Computer Science, page 1-13. Springer, (2014)Side Channel Evaluation of PUF-Based Pseudorandom Permutation., , , , and . DSD, page 237-243. IEEE Computer Society, (2017)Automated Design of High Performance Integer Arithmetic Cores on FPGA., , and . DSD, page 322-329. IEEE Computer Society, (2015)Towards Ideal Arbiter PUF Design on Xilinx FPGA: A Practitioner's Perspective., , and . DSD, page 559-562. IEEE Computer Society, (2015)