Shao-Zhen Chen

New results on the quantum security analysis of lightweight block cipher Simeck

Simeck demonstrates reliable resistance against conventional cryptanalytic attacks and offers sound security properties, making it a noteworthy design in the field of lightweight cryptography. Nevertheless, ongoing progress in quantum computing poses a potential threat to the security of Simeck, underscoring the need f...

Extracting CNNs in the Unknown-Architecture and Feedback-Agnostic Setting

This paper studies the cryptanalytic extraction of convolutional neural networks (CNNs). Existing cryptanalytic extraction attacks on CNNs assume that the network architecture is known, and try to recover model parameters.In this paper, we prove for the first time that the architecture assumption can be removed for CNN...

SupCL-GNN: Supervised contrastive learning with graph neural networks for enhanced encrypted traffic classification