Paper-Conference

A comparison of deep learning approaches for power-based side-channel attacks
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Custom Floating-Point Computations for the Optimization of ODE Solvers on FPGA
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A Deep-Learning Technique to Locate Cryptographic Operations in Side-Channel Traces
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A DNN-based Background Segmentation Accelerator for FPGA-equipped satellites
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A geometric XAI approach to protein pocket detection
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A High Efficiency Hardware Design for the Post-Quantum KEM HQC
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A Portable Drug Discovery Platform for Urgent Computing
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A Prototype-Based Framework to Design Scalable Heterogeneous SoCs with Fine-Grained DFS
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A Quantum Circuit to Execute a Key-Recovery Attack Against the DES and 3DES Block Ciphers
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A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
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