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Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs.

, , , , , , , и . DATE, стр. 706-711. IEEE, (2022)

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Rohit Sinha

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Hardware Aware Robust Compression of Neural Networks.. Technical University of Munich, Germany, (2023)Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs., , , , , , , и . DATE, стр. 706-711. IEEE, (2022)Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , и 2 other автор(ы). CVPR Workshops, стр. 66-75. Computer Vision Foundation / IEEE, (2021)HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology., , , , , , , , , и . ACM Trans. Embed. Comput. Syst., 20 (5s): 66:1-66:25 (2021)Investigating Binary Neural Networks for Traffic Sign Detection and Recognition., , , , , , , и . IV, стр. 1400-1405. IEEE, (2021)An Efficient FPGA Accelerator Design for Optimized CNNs Using OpenCL., , и . ARCS, том 11479 из Lecture Notes in Computer Science, стр. 236-249. Springer, (2019)L2PF - Learning to Prune Faster., , , , , , , , и . CVIP (3), том 1378 из Communications in Computer and Information Science, стр. 249-261. Springer, (2020)Accelerating and pruning CNNs for semantic segmentation on FPGA., , , , , , , , , и 1 other автор(ы). DAC, стр. 145-150. ACM, (2022)ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks., , , , , , и . DAC, стр. 1-6. IEEE, (2020)AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms., , , , , , , , , и 3 other автор(ы). DATE, стр. 238-243. IEEE, (2022)