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Protecting the supply chain for automotives and IoTs., , и . DAC, стр. 89:1-89:4. ACM, (2018)Tolerating Defects in Low-Power Neural Network Accelerators Via Retraining-Free Weight Approximation., , , , и . ACM Trans. Embed. Comput. Syst., 20 (5s): 85:1-85:21 (2021)nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data., , , и . CF, стр. 3-13. ACM, (2019)FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption., , , , , , , , , и . CoRR, (2023)PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data., , , и . ICCD, стр. 333-336. IEEE, (2019)Pruning hardware evaluation space via correlation-driven application similarity analysis., , , , , и . Conf. Computing Frontiers, стр. 4. ACM, (2011)Effective Evaluation of Multi-core Based Systems., , , и . ISPDC, стр. 19-25. IEEE, (2013)Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims., , , , , , , , , и 49 other автор(ы). CoRR, (2020)Exploring Energy Efficient Architectures for RLWE Lattice-Based Cryptography., , , и . J. Signal Process. Syst., 93 (10): 1139-1148 (2021)Domain-specific Accelerators for Ideal Lattice-based Public Key Protocols., , , и . IACR Cryptol. ePrint Arch., (2018)