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Building Robust Machine Learning Systems: Current Progress, Research Challenges, and Opportunities.

, , , , , , , , and . DAC, page 175. ACM, (2019)

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Heterogeneous Approximate Multipliers: Architectures and Design Methodologies., , , , and . Approximate Circuits, Springer, (2019)EXTENT: Enabling Approximation-Oriented Energy Efficient STT-RAM Write Circuit., , , and . CoRR, (2022)Reliable and Resilient AI and IoT-based Personalised Healthcare Services: A Survey., and . CoRR, (2022)ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits., , , , and . CoRR, (2018)Towards Multi-Level Modelling and Monitoring of Real-time Personalised Health Conditions., and . ETFA, page 1-8. IEEE, (2022)FaDec: A Fast Decision-based Attack for Adversarial Machine Learning., , , , , and . IJCNN, page 1-8. IEEE, (2020)dRG-MEC: Decentralized Reinforced Green Offloading for MEC-enabled Cloud Network., and . CoRR, (2024)SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters., , , , , and . IEEE Des. Test, 37 (2): 58-65 (2020)SMART: Investigating the Impact of Threshold Voltage Suppression in an In-SRAM Multiplication/Accumulation Accelerator for Accuracy Improvement in 65 nm CMOS Technology., , and . DSD, page 821-826. IEEE, (2022)TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks., , , , and . IOLTS, page 188-193. IEEE, (2019)