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Machine Learning to the Rescue: ML-Assisted Framework for Equity-Driven Education.

, , , , and . EDUCON, page 1254-1263. IEEE, (2022)

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Hybrid-Shield: Accurate and Efficient Cross-Layer Countermeasure for Run-Time Detection and Mitigation of Cache-Based Side-Channel Attacks., , , , and . ICCAD, page 36:1-36:9. IEEE, (2020)Comprehensive Evaluation of Machine Learning Countermeasures for Detecting Microarchitectural Side-Channel Attacks., , , , , and . ACM Great Lakes Symposium on VLSI, page 181-186. ACM, (2020)XPPE: cross-platform performance estimation of hardware accelerators using machine learning., , , , , and . ASP-DAC, page 727-732. ACM, (2019)Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis., , , , , , and . DATE, page 1414-1419. IEEE, (2020)SCARF: Detecting Side-Channel Attacks at Real-time using Low-level Hardware Features., , , , and . IOLTS, page 1-6. IEEE, (2020)Comprehensive assessment of run-time hardware-supported malware detection using general and ensemble learning., , , , and . CF, page 212-215. ACM, (2018)Lightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks., , , , , and . DATE, page 776-781. IEEE, (2019)Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design., , , , , , , , and . CoRR, (2019)Machine Learning-Based Approaches for Energy-Efficiency Prediction and Scheduling in Composite Cores Architectures., , , and . ICCD, page 129-136. IEEE Computer Society, (2017)Global Attack and Remedy on IC-Specific Logic Encryption., , , , and . HOST, page 145-148. IEEE, (2022)