MPEG Double Compression Based Intra-Frame Video Forgery Detection using CNN. - Jamimamul Bakas; Anil Kumar Bashaboina; Ruchira Naskar (ICIT, 2018)

A Digital Forensic Technique for Inter-Frame Video Forgery Detection Based on 3D CNN. - Jamimamul Bakas; Ruchira Naskar (ICISS, 2018)

Re-compression Based JPEG Tamper Detection and Localization Using Deep Neural Network, Eliminating Compression Factor Dependency. - Jamimamul Bakas; Praneta Rawat; Kalyan Kokkalla; Ruchira Naskar (ICISS, 2018)

Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames. - Jamimamul Bakas; Ruchira Naskar; Rahul Dixit (Multim. Tools Appl., 2019)

Double and triple compression-based forgery detection in JPEG images using deep convolutional neural network. - Jamimamul Bakas; Sumana Ramachandra; Ruchira Naskar (J. Electronic Imaging, 2020)

Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis. - Jamimamul Bakas; Ruchira Naskar; Sambit Bakshi (Comput. Electr. Eng., 2021)

Detection of Object-Based Forgery in Surveillance Videos Utilizing Motion Residual and Deep Learning. - Mrinal Raj; Jamimamul Bakas (ICDCIT, 2023)

Object-based forgery detection in surveillance video using capsule network. - Jamimamul Bakas; Ruchira Naskar; Michele Nappi; Sambit Bakshi (J. Ambient Intell. Humaniz. Comput., 2023)

Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency. - Jamimamul Bakas; Praneta Rawat; Kalyan Kokkalla; Ruchira Naskar (CoRR, 2024)