SUT System Description for Anti-Spoofing 2017 Challenge. - Mohammad Adiban; Hossein Sameti; Nooshin Maghsoodi; Sajjad Shahsavari (ROCLING, 2017)

I-vector Based Features Embedding for Heart Sound Classification. - Mohammad Adiban; Bagher BabaAli; Saeedreza Shehnepoor (CoRR, 2019)

Replay Spoofing Countermeasure Using Autoencoder and Siamese Network on ASVspoof 2019 Challenge. - Mohammad Adiban; Hossein Sameti; Saeedreza Shehnepoor (CoRR, 2019)

Spatial Bias in Vision-Based Voice Activity Detection. - Kalin Stefanov; Mohammad Adiban; Giampiero Salvi (ICPR, 2020)

STEP-GAN: A Step-by-Step Training for Multi Generator GANs with application to Cyber Security in Power Systems. - Mohammad Adiban; Arash Safari; Giampiero Salvi (CoRR, 2020)

Replay spoofing countermeasure using autoencoder and siamese networks on ASVspoof 2019 challenge. - Mohammad Adiban; Hossein Sameti; Saeedreza Shehnepoor (Comput. Speech Lang., 2020)

STEP-GAN: A One-Class Anomaly Detection Model with Applications to Power System Security. - Mohammad Adiban; Arash Safari; Giampiero Salvi (ICASSP, 2021)

Hierarchical Residual Learning Based Vector Quantized Variational Autoencoder for Image Reconstruction and Generation. - Mohammad Adiban; Kalin Stefanov; Sabato Marco Siniscalchi; Giampiero Salvi (BMVC, 2022)

A step-by-step training method for multi generator GANs with application to anomaly detection and cybersecurity. - Mohammad Adiban; Sabato Marco Siniscalchi; Giampiero Salvi (Neurocomputing, 2023)

S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction. - Mohammad Adiban; Kalin Stefanov; Sabato Marco Siniscalchi; Giampiero Salvi (IEEE Trans. Multim., 2025)

Pioneering Generative Models: Novel Techniques for Anomaly Detection, Image Modeling, and Video Prediction. - Mohammad Adiban (2025)