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Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators.

, , , , , , and . MWSCAS, page 821-825. IEEE, (2023)

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Process variation immune and energy aware sense amplifiers for resistive non-volatile memories., and . ISCAS, page 1-4. IEEE, (2017)SLIM-ADC: Spin-based Logic-In-Memory Analog to Digital Converter leveraging SHE-enabled Domain Wall Motion devices., and . Microelectron. J., (2018)Mixed-Signal Spin/Charge Reconfigurable Array for Energy-Aware Compressive Signal Processing., , and . ReConFig, page 1-8. IEEE, (2019)Mitigating Process Variability for Non-Volatile Cache Resilience and Yield., , and . IEEE Trans. Emerg. Top. Comput., 8 (3): 724-737 (2020)An Ultra-Low Power Spintronic Stochastic Spiking Neuron with Self-Adaptive Discrete Sampling., , , and . MWSCAS, page 49-52. IEEE, (2019)Automated Supervised Topic Modeling Framework for Hardware Weaknesses., , , , , , and . ISQED, page 1-8. IEEE, (2023)MRAM-Based Stochastic Oscillators for Adaptive Non-Uniform Sampling of Sparse Signals in IoT Applications., , , , and . ISVLSI, page 403-408. IEEE, (2019)Self-Organized Sub-bank SHE-MRAM-based LLC: An energy-efficient and variation-immune read and write architecture., , , and . Integr., (2019)Energy-Aware Adaptive Rate and Resolution Sampling of Spectrally Sparse Signals Leveraging VCMA-MTJ Devices., , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 8 (4): 679-692 (2018)Securing AI Hardware: Challenges in Detecting and Mitigating Hardware Trojans in ML Accelerators., , , , , , and . MWSCAS, page 821-825. IEEE, (2023)