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Karakchi-Research / PYNQ_BLADEI

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Real-time bitstream malware detection using an ML + DL model trained on SOTA benchmarks, sourced via Trust-Hub. Includes feature extraction, Trojan detection, family classification, and embedded inference on PYNQ-supported FPGA boards.

machine-learning cryptography encryption deep-learning communication-protocol scikit-learn embedded-systems armv7 convolutional-neural-networks quantization pynq multi-layer-perceptron armv8 malware-detection iscas armv7l pynq-torch bitstreams hardware-trojan itc99
  • Updated Apr 7, 2026
  • Tcl

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