Abstract: Adversarial attacks craft adversarial examples (AEs) to fool convolution neural networks. The mainstream gradient-based attacks, based on first-order optimization methods, encounter ...

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Abstract: This research presents an innovative FPGA implementation of a $128 \times 128$ convolution systolic array architecture, optimized for image processing applications. The core of this design ...