Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames J Bakas, R Naskar, R Dixit Multimedia Tools and Applications 78, 4905-4935, 2019 | 43 | 2019 |
A digital forensic technique for inter–frame video forgery detection based on 3D CNN J Bakas, R Naskar International Conference on Information Systems Security, 304-317, 2018 | 31 | 2018 |
Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis J Bakas, R Naskar, S Bakshi Computers & Electrical Engineering 89, 106929, 2021 | 23 | 2021 |
Mpeg double compression based intra-frame video forgery detection using cnn J Bakas, AK Bashaboina, R Naskar 2018 International Conference on Information Technology (ICIT), 221-226, 2018 | 13 | 2018 |
Object-based forgery detection in surveillance video using capsule network J Bakas, R Naskar, M Nappi, S Bakshi Journal of Ambient Intelligence and Humanized Computing, 1-11, 2023 | 10 | 2023 |
Double and triple compression-based forgery detection in JPEG images using deep convolutional neural network J Bakas, S Ramachandra, R Naskar Journal of Electronic Imaging 29 (2), 023006-023006, 2020 | 8 | 2020 |
Re–compression based JPEG tamper detection and localization using deep neural network, eliminating compression factor dependency J Bakas, P Rawat, K Kokkalla, R Naskar Information Systems Security: 14th International Conference, ICISS 2018 …, 2018 | 3 | 2018 |
Detection of Object-Based Forgery in Surveillance Videos Utilizing Motion Residual and Deep Learning M Raj, J Bakas International Conference on Distributed Computing and Intelligent Technology …, 2023 | | 2023 |
Compressed Multimedia Forgery Detection through Blind Digital Forensics J Bakas | | 2022 |
12 Illegitimate EPR S Chinara, R Naskar, J Bakas, SN Mishra IoT: Security and Privacy Paradigm, 257, 2020 | | 2020 |
Detection and Localization of Double-Compressed Forged Regions in JPEG Images Using DCT Coefficients and Deep Learning–Based CNN J Bakas, R Naskar Artificial Intelligence and Deep Learning for Computer Network, 99-117, 0 | | |