Image Steganalysis Based on Statistical Moments of Wavelet Subband Histograms in Different Frequencies and Support Vector Machine. - Mohammad Ali Mehrabi; Karim Faez; Ali Reza Bayesteh (ICNC (1), 2007)

Steganalysis of LSB Matching Based on Co-occurrence Matrix and Removing Most Significant Bit Planes. - Mojtaba Abolghasemi; Hassan Aghaeinia; Karim Faez; Mohammad Ali Mehrabi (IIH-MSP, 2008)

Detection of LSB+/-1 steganography based on co-occurrence matrix and bit plane clipping. - Mojtaba Abolghasemi; Hassan Aghaeinia; Karim Faez; Mohammad Ali Mehrabi (J. Electronic Imaging, 2010)

Frequency-domain information along with LSTM and GRU methods for histopathological breast-image classification. - Abdullah Al Nahid; Mohamad Ali Mehrabi; Yinan Kong (ISSPIT, 2017)

Improved Sum of Residues Modular Multiplication Algorithm. - Mohamad Ali Mehrabi (Cryptogr., 2019)

Low-Cost, Low-Power FPGA Implementation of ED25519 and CURVE25519 Point Multiplication. - Mohamad Ali Mehrabi; Christophe Doche (Inf., 2019)

Elliptic Curve Cryptography Point Multiplication Core for Hardware Security Module. - Mohamad Ali Mehrabi; Christophe Doche; Alireza Jolfaei (IEEE Trans. Computers, 2020)

Power Side-Channel Analysis of RNS GLV ECC Using Machine and Deep Learning Algorithms. - Mohamad Ali Mehrabi; Naila Mukhtar; Alireza Jolfaei (ACM Trans. Internet Techn., 2021)

Efficient Cryptographic Hardware for Safety Message Verification in Internet of Connected Vehicles. - Mohamad Ali Mehrabi; Alireza Jolfaei (ACM Trans. Internet Techn., 2022)

An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Saeed Afshar (INNS DLIA@IJCNN, 2023)

Edge enhanced deep learning system for IoT edge device security analytics. - Naila Mukhtar; Mohamad Ali Mehrabi; Yinan Kong; Ashiq Anjum (Concurr. Comput. Pract. Exp., 2023)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Andrew Wabnitz; Saeed Afshar (CoRR, 2023)

Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). - Mohamad Ali Mehrabi; Nik Dennler; Yeshwanth Bethi; André van Schaik; Saeed Afshar (ISIE, 2024)

Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Andrew Wabnitz; Saeed Afshar (IEEE Access, 2024)