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StealthMiner: Specialized Time Series Machine Learning for Run-Time Stealthy Malware Detection based on Microarchitectural Features., , , , , , , and . ACM Great Lakes Symposium on VLSI, page 175-180. ACM, (2020)Architectural considerations for FPGA acceleration of machine learning applications in MapReduce., , , , , and . SAMOS, page 89-96. ACM, (2018)Cloak & Co-locate: Adversarial Railroading of Resource Sharing-based Attacks on the Cloud., , , , , , and . SEED, page 1-13. IEEE, (2021)Mitigating the Performance and Quality of Parallelized Compressive Sensing Reconstruction Using Image Stitching., , , , , , and . ACM Great Lakes Symposium on VLSI, page 219-224. ACM, (2019)Understanding the role of memory subsystem on performance and energy-efficiency of Hadoop applications., , , and . IGSC, page 1-6. IEEE Computer Society, (2017)Intelligent Malware Detection based on Hardware Performance Counters: A Comprehensive Survey., , , and . ISQED, page 1-10. IEEE, (2024)HosNa: A DPC++ Benchmark Suite for Heterogeneous Architectures., , , , , and . ICCD, page 509-516. IEEE, (2021)XPPE: cross-platform performance estimation of hardware accelerators using machine learning., , , , , and . ASP-DAC, page 727-732. ACM, (2019)Applied Machine Learning for Resource Provisioning of Data-Intensive Applications on Scale-Out Platforms and Its Security Challenges. University of California, Davis, USA, (2021)Forget and Rewire: Enhancing the Resilience of Transformer-based Models against Bit-Flip Attacks., , , , , , and . USENIX Security Symposium, USENIX Association, (2024)