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Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks.

, , , , and . IOLTS, page 257-260. IEEE, (2018)

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Task Mapping for Redundant Multithreading in Multi-Cores with Reliability and Performance Heterogeneity., , , , , and . IEEE Trans. Computers, 65 (11): 3441-3455 (2016)Compiler-driven dynamic reliability management for on-chip systems under variabilities., , , and . DATE, page 1-4. European Design and Automation Association, (2014)Revc: Computationally Reliable Video Coding on unreliable hardware platforms: A case study on error-tolerant H.264/AVC CAVLC entropy coding., , , and . ICIP, page 397-400. IEEE, (2011)DRVS: Power-efficient reliability management through Dynamic Redundancy and Voltage Scaling under variations., , , , , , and . ISLPED, page 225-230. IEEE, (2015)MemGANs: Memory Management for Energy-Efficient Acceleration of Complex Computations in Hardware Architectures for Generative Adversarial Networks., , , , , and . ISLPED, page 1-6. IEEE, (2019)Robust Machine Learning Systems: Reliability and Security for Deep Neural Networks., , , , and . IOLTS, page 257-260. IEEE, (2018)An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the IoT era., , , , , , and . DATE, page 827-832. IEEE, (2018)R2Cache: Reliability-aware reconfigurable last-level cache architecture for multi-cores., , , , , and . CODES+ISSS, page 1-10. IEEE, (2015)ForASec: Formal Analysis of Security Vulnerabilities in Sequential Circuits., , , , and . CoRR, (2018)Reliable code generation and execution on unreliable hardware under joint functional and timing reliability considerations., , , , , and . IEEE Real-Time and Embedded Technology and Applications Symposium, page 273-282. IEEE Computer Society, (2013)