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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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PARL: Enhancing Diversity of Ensemble Networks to Resist Adversarial Attacks via Pairwise Adversarially Robust Loss Function., , , , and . CoRR, (2021)Performance Counters to Rescue: A Machine Learning based safeguard against Micro-architectural Side-Channel-Attacks., , , and . IACR Cryptol. ePrint Arch., (2017)HARDY: Hardware based Analysis for malwaRe Detection in embedded sYstems., , , , , and . SoCC, page 1-6. IEEE, (2020)RAPPER: Ransomware Prevention via Performance Counters., , , and . CoRR, (2018)A 0.16pJ/bit recurrent neural network based PUF for enhanced machine learning attack resistance., , , , and . ASP-DAC, page 627-632. ACM, (2019)LLMPot: Automated LLM-based Industrial Protocol and Physical Process Emulation for ICS Honeypots., , , , and . CoRR, (2024)Tackling the Time-Defence: An Instruction Count Based Micro-architectural Side-Channel Attack on Block Ciphers., , and . SPACE, volume 10662 of Lecture Notes in Computer Science, page 30-52. Springer, (2017)How Secure are Deep Learning Algorithms from Side-Channel based Reverse Engineering?, and . CoRR, (2018)IPA: an Instruction Profiling-Based Micro-architectural Side-Channel Attack on Block Ciphers., , , , and . J. Hardw. Syst. Secur., 3 (1): 26-44 (2019)Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning., , and . CoRR, (2023)