Classification of Computer Generated and Natural Images based on Efficient Deep Convolutional Recurrent Attention Model. DB Tariang, P Senguptab, A Roy, RS Chakraborty, R Naskar CVPR workshops, 146-152, 2019 | 16 | 2019 |
A robust residual dense neural network for countering antiforensic attack on median filtered images DB Tariang, RS Chakraborty, R Naskar IEEE Signal Processing Letters 26 (8), 1132-1136, 2019 | 12 | 2019 |
Discrete cosine transform residual feature based filtering forgery and splicing detection in jpeg images A Roy, D Bhalang Tariang, R Subhra Chakraborty, R Naskar Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 11 | 2018 |
Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn’t There yet D Tariang, R Corvi, D Cozzolino, G Poggi, K Nagano, L Verdoliva IEEE Security & Privacy, 2024 | 4* | 2024 |
Automated JPEG forgery detection with correlation based localization DB Tariang, A Roy, RS Chakraborty, R Naskar 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW …, 2017 | 4 | 2017 |
Re-compressed based JPEG forgery detection and localization through automated quality factor investigation DB Tariang, R Naskar 2016 International Conference on Wireless Communications, Signal Processing …, 2016 | 3 | 2016 |
Malware classification through attention residual network based visualization DB Tariang, SC Birudaraju, R Naskar, V Khare, RS Chakraborty 2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 1-6, 2020 | 2 | 2020 |
Re-compression Based JPEG Forgery Detection and Localization with Optimal Reconstruction DB Tariang | | 2016 |