Muhtasim Alam Chowdhury, Arthur Kim, Rozhin Yasaei, Soheil Salehi · 2026 · arXiv
DOI: 10.48550/arXiv.2610.30400 · open-access PDF
Modern heterogeneous computing platforms, which integrate general-purpose processors with specialized accelerators such as FPGAs, have become the standard for high-performance and embedded applications. However, the shared physical resources of these systems introduce critical security vulnerabilities, where power consumption patterns can leak sensitive runtime information. While side-channel analysis is well established for extracting cryptographic keys from isolated algorithms, existing methods struggle to profile complex, dynamic systems where diverse workloads coexist on shared hardware re
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