3 papers
cs.CR2026
Bit-Level Triangular Content-Aware Permutation for Fragile Image Watermarking: Zero False Positive Rate, Single-Bit Sensitivity, and Arbitrary Dimension Support
Zahra Ghoraeian, Mohammad-Reza Sadeghi, Samaneh Mashhadi
With the growth of digital document exchange, protecting image integrity against attacks such as Vector Quantization (VQ) and collage has become critical. Existing methods are vuln…
cs.CV2026
A Content-Aware Pure Permutation with Intrinsic Avalanche Effect: Breaking the Diffusion-Permutation Dichotomy
Zahra Ghoraeian, Mohammad-Reza Sadeghi, Samaneh Mashhadi
Pixel permutation is a fundamental tool in image processing, image encryption, and data hiding (including watermarking and steganography) that rearranges pixels without changing th…
cs.IT2026
Efficient Active Deep Decoding of Linear Codes using Importance Sampling
Hassan Noghrei, Mohammad-Reza Sadeghi, Wai Ho Mow
The quality and quantity of data used for training greatly influence the performance and effectiveness of deep learning models. In the context of error correction, it is essential…