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A Geometry-Based Stochastic Channel Model for the Millimeter-Wave Band in a 3GPP High-Speed Train Scenario.

, , , , , , , and . IEEE Trans. Veh. Technol., 67 (5): 3853-3865 (2018)

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New Passive and Active Attacks on Deep Neural Networks in Medical Applications., , , , , , , and . ICCAD, page 39:1-39:9. IEEE, (2020)Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models., , , , , , , , and . ICCAD, page 1-9. IEEE, (2023)Machine Learning-Based Energy Management in a Hybrid Electric Vehicle to Minimize Total Operating Cost., , , and . ICCAD, page 627-634. IEEE, (2015)Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge., , , , , , , , , and . CVPR, page 15402-15412. IEEE, (2023)BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning., , , , , , , , , and 3 other author(s). ISQED, page 1-8. IEEE, (2022)Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack., , , , , and . SP (Workshops), page 244. IEEE, (2021)HSIM-DNN: Hardware Simulator for Computation-, Storage- and Power-Efficient Deep Neural Networks., , , , and . ACM Great Lakes Symposium on VLSI, page 81-86. ACM, (2019)Reverse Engineering of Imperceptible Adversarial Image Perturbations., , , , , , and . ICLR, OpenReview.net, (2022)Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks., , , , and . IJCAI, page 575-582. ijcai.org, (2021)Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations., , , , , , and . IJCAI, page 1714-1720. ijcai.org, (2022)