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LOCK&ROLL: deep-learning power side-channel attack mitigation using emerging reconfigurable devices and logic locking.

, , , , , , , and . DAC, page 85-90. ACM, (2022)

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A+ Tuning: Architecture+Application Auto-Tuning for In-Memory Data-Processing Frameworks., , and . ICPADS, page 163-166. IEEE, (2019)Reducing Execution Unit Leakage Power in Embedded Processors., and . SAMOS, volume 4017 of Lecture Notes in Computer Science, page 299-308. Springer, (2006)History & Variation Trained Cache (HVT-Cache): A process variation aware and fine grain voltage scalable cache with active access history monitoring., , , , and . ISQED, page 498-505. IEEE, (2012)Post-synthesis sleep transistor insertion for leakage power optimization in clock tree networks., , , , and . ISQED, page 499-507. IEEE, (2010)Stealthy Inference Attack on DNN via Cache-based Side-Channel Attacks., , , , , and . DATE, page 1515-1520. IEEE, (2022)HybriDG: Hybrid Dynamic Time Warping and Gaussian Distribution Model for Detecting Emerging Zero-Day Microarchitectural Side-Channel Attacks., , , , and . ICMLA, page 604-611. IEEE, (2020)Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution., , , , , and . ICDM, page 250-259. IEEE, (2019)DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums., , , and . ICDM, page 1042-1047. IEEE, (2019)Repttack: Exploiting Cloud Schedulers to Guide Co-Location Attacks., , , , , , , and . NDSS, The Internet Society, (2022)Efficient utilization of adversarial training towards robust machine learners and its analysis., , , and . ICCAD, page 78. ACM, (2018)