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SVM-based real-time hardware Trojan detection for many-core platform.

, , and . ISQED, page 362-367. IEEE, (2016)

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Low Energy Sketching Engines on Many-Core Platform for Big Data Acceleration., , , and . ACM Great Lakes Symposium on VLSI, page 57-62. ACM, (2016)LESS: Big data sketching and Encryption on low power platform., , , and . DATE, page 1631-1634. IEEE, (2017)Accelerating convolutional neural network with FFT on tiny cores., , and . ISCAS, page 1-4. IEEE, (2017)PACENet: Energy efficient acceleration for convolutional network on embedded platform., , , , and . ISCAS, page 1-4. IEEE, (2017)CS-Based Secured Big Data Processing on FPGA., , , and . FCCM, page 201. IEEE Computer Society, (2016)SVM-based real-time hardware Trojan detection for many-core platform., , and . ISQED, page 362-367. IEEE, (2016)Adaptive real-time Trojan detection framework through machine learning., , and . HOST, page 120-123. IEEE Computer Society, (2016)A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms., , , and . FCCM, page 201. IEEE Computer Society, (2017)A parallel and reconfigurable architecture for efficient OMP compressive sensing reconstruction., , and . ACM Great Lakes Symposium on VLSI, page 299-304. ACM, (2014)Real-Time Anomaly Detection Framework for Many-Core Router through Machine-Learning Techniques., , , and . ACM J. Emerg. Technol. Comput. Syst., 13 (1): 10:1-10:22 (2016)