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Disambiguation of "Karam, Robert"

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Detecting RTL Trojans using Artificial Immune Systems and High Level Behavior Classification.

, and . AsianHOST, page 68-73. IEEE, (2018)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Robert Henzel University of Stuttgart

Dr. rer. nat. Robert Seyfang University of Stuttgart

Dr. rer. pol. Robert Rose University of Stuttgart

PD Dr. Robert Dinnebier University of Stuttgart

Robert Wipperfürth University of Stuttgart

 

Other publications of authors with the same name

Energy-efficient hardware acceleration through computing in the memory., , , and . DATE, page 1-6. European Design and Automation Association, (2014)An Embedded Memory-Centric Reconfigurable Hardware Accelerator for Security Applications., , , , and . IEEE Trans. Computers, 65 (10): 3196-3202 (2016)Emerging Trends in Design and Applications of Memory-Based Computing and Content-Addressable Memories., , , and . Proceedings of the IEEE, 103 (8): 1311-1330 (2015)Trade-off between energy and quality of service through dynamic operand truncation and fusion., , and . ACM Great Lakes Symposium on VLSI, page 79-80. ACM, (2014)Mixed-granular architectural diversity for device security in the Internet of Things., , , and . AsianHOST, page 73-78. IEEE Computer Society, (2017)Security Primitive Design with Nanoscale Devices: A Case Study with Resistive RAM., , , , and . ACM Great Lakes Symposium on VLSI, page 299-304. ACM, (2016)Energy-Efficient Adaptive Hardware Accelerator for Text Mining Application Kernels., , and . IEEE Trans. VLSI Syst., 24 (12): 3526-3537 (2016)MAHA: An Energy-Efficient Malleable Hardware Accelerator for Data-Intensive Applications., , , , and . IEEE Trans. VLSI Syst., 23 (6): 1005-1016 (2015)ENFIRE: An Energy-efficient Fine-grained Spatio-temporal Reconfigurable Computing Fabric (Abstact Only)., , , and . FPGA, page 275. ACM, (2016)Machine Learning Based IoT Edge Node Security Attack and Countermeasures., , , , and . ISVLSI, page 670-675. IEEE, (2019)