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Ruchira Naskar
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2020 – today
- 2024
- [j26]Arnab Kumar Das
, Ruchira Naskar:
A deep learning model for depression detection based on MFCC and CNN generated spectrogram features. Biomed. Signal Process. Control. 90: 105898 (2024) - [j25]Rajat Chakraborty
Role of human physiology and facial biomechanics towards building robust deepfake detectors: A comprehensive survey and analysis. Comput. Sci. Rev. 54: 100677 (2024) - [j24]Arundhati Bhowal, Sarmistha Neogy, Ruchira Naskar:
Deep Learning-based forgery detection and localization for compressed images using a hybrid optimization model. Multim. Syst. 30(3): 128 (2024) - [j23]Tanusree Ghosh
Less is more: A minimalist approach to robust GAN-generated face detection. Pattern Recognit. Lett. 179: 185-191 (2024) - [j22]Debjit Das
Image splicing detection using low-dimensional feature vector of texture features and Haralick features based on Gray Level Co-occurrence Matrix. Signal Process. Image Commun. 125: 117134 (2024) - [c33]Tanusree Ghosh
GAN and DM Generated Synthetic Image Detection in the Age of Misinformation. ACNS Workshops (2) 2024: 225-229 - [c32]Debjit Das, Ruchira Naskar:
Splicing Localization in Digital Images Through Agglomerative Clustering on Optimized Feature Sets with Zero Training Data Dependency. ICPR (22) 2024: 360-373 - [i3]Jamimamul Bakas, Praneta Rawat, Kalyan Kokkalla, Ruchira Naskar:
Recompression Based JPEG Tamper Detection and Localization Using Deep Neural Network Eliminating Compression Factor Dependency. CoRR abs/2407.02942 (2024) - 2023
- [j21]Jamimamul Bakas
Object-based forgery detection in surveillance video using capsule network. J. Ambient Intell. Humaniz. Comput. 14(4): 3781-3791 (2023) - [j20]Debjit Das
Image splicing detection with principal component analysis generated low-dimensional homogeneous feature set based on local binary pattern and support vector machine. Multim. Tools Appl. 82(17): 25847-25864 (2023) - [c31]Tanusree Ghosh
STN-Net: A Robust GAN-Generated Face Detector. ICISS 2023: 141-158 - [c30]Arnab Kumar Das, Soumik Mukhopadhyay, Arijit Dalui, Ritaban Bhattacharya, Ruchira Naskar:
A Multi-stage Multi-modal Classification Model for DeepFakes Combining Deep Learned and Computer Vision Oriented Features. ICISS 2023: 217-226 - [c29]Arnab Kumar Das
Fighting Deepfakes by Detecting DCT Frequency Anomalies. ISDCS 2023: 1-5 - [c28]Sanandita Das
Universal Detection and Source Attribution of Diffusion Model Generated Images with High Generalization and Robustness. PReMI 2023: 441-448 - [c27]Debjit Das
Spliced Region Detection and Localization in Digital Images Based on CNN Learning Guided by Color Transitions and Surface Texture. SPACE 2023: 185-196 - [c26]Tanusree Ghosh, Ruchira Naskar:
Leveraging Image Gradients for Robust GAN-Generated Image Detection in OSN context. VCIP 2023: 1-5 - [i2]Venkata Udaya Sameer, Shilpa Mukhopadhyay, Ruchira Naskar, Ishaan Dali:
Source Camera Identification and Detection in Digital Videos through Blind Forensics. CoRR abs/2309.03353 (2023) - 2022
- [c25]Debjit Das
Linear and Non-Linear Filter-based Counter-Forensics Against Image Splicing Detection. CVIP (1) 2022: 261-275 - 2021
- [j19]Jamimamul Bakas
Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis. Comput. Electr. Eng. 89: 106929 (2021) - [j18]Souradip Nath
Automated image splicing detection using deep CNN-learned features and ANN-based classifier. Signal Image Video Process. 15(7): 1601-1608 (2021) - 2020
- [j17]Jamimamul Bakas
Double and triple compression-based forgery detection in JPEG images using deep convolutional neural network. J. Electronic Imaging 29(2): 023006 (2020) - [j16]Venkata Udaya Sameer
Deep siamese network for limited labels classification in source camera identification. Multim. Tools Appl. 79(37-38): 28079-28104 (2020) - [c24]Diangarti Bhalang Tariang
Malware Classification Through Attention Residual Network based Visualization. AsianHOST 2020: 1-6 - [c23]Sobhan Mondal, Deependra Pushkar, Mrinali Kumari, Ruchira Naskar:
Forensic Source Identification of OSN Compressed Images. ICISS 2020: 160-166
2010 – 2019
- 2019
- [j15]Aditi Panda
Deep learning approach for segmentation of plain carbon steel microstructure images. IET Image Process. 13(9): 1516-1524 (2019) - [j14]Jamimamul Bakas
Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames. Multim. Tools Appl. 78(4): 4905-4935 (2019) - [j13]Rahul Dixit, Ruchira Naskar:
Region duplication detection in digital images based on Centroid Linkage Clustering of key-points and graph similarity matching. Multim. Tools Appl. 78(10): 13819-13840 (2019) - [j12]Diangarti Bhalang Tariang
A Robust Residual Dense Neural Network For Countering Antiforensic Attack on Median Filtered Images. IEEE Signal Process. Lett. 26(8): 1132-1136 (2019) - [c22]Diangarti Bhalang Tariang, Prithviraj Senguptab, Aniket Roy, Rajat Subhra Chakraborty, Ruchira Naskar:
Classification of Computer Generated and Natural Images based on Efficient Deep Convolutional Recurrent Attention Model. CVPR Workshops 2019: 146-152 - [c21]Rahul Dixit, Ruchira Naskar:
Copy-Rotate-Move Forgery Detection using Complex Wavelet Transform and Local Binary Pattern. ICCCNT 2019: 1-7 - [c20]Aditi Panda, Ruchira Naskar, Samvrant Rajbans, Snehanshu Pal
A 3D Wide Residual Network with Perceptual Loss for Brain MRI Image Denoising. ICCCNT 2019: 1-7 - [c19]Aditi Panda, Ruchira Naskar, Snehanshu Pal
An Image Texture Descriptor based Machine Learning Framework for Prediction of Thermo-Mechanic Heat Treatment Process in Plain Carbon Steel. ISPA 2019: 169-175 - [c18]Venkata Udaya Sameer, Ruchira Naskar, Sowjanya Modalavalasa
Mitigating Adaptive PRNU Denoising in Camera Model Identification: An Anti-Counter Forensic Approach. TENCON 2019: 903-907 - 2018
- [j11]Venkata Udaya Sameer, S. Sugumaran, Ruchira Naskar:
K-unknown models detection through clustering in blind source camera identification. IET Image Process. 12(7): 1204-1213 (2018) - [j10]Venkata Udaya Sameer, Ruchira Naskar:
Blind Image Source Device Identification: Practicality and Challenges. Int. J. Inf. Secur. Priv. 12(3): 84-99 (2018) - [j9]Rahul Dixit, Ruchira Naskar:
Copy-move forgery detection utilizing Fourier-Mellin transform log-polar features. J. Electronic Imaging 27(2): 023007 (2018) - [j8]Aditi Panda, Ruchira Naskar, Snehanshu Pal
Exponential linear unit dilated residual network for digital image denoising. J. Electronic Imaging 27(05): 053024 (2018) - [j7]Venkata Udaya Sameer, Ruchira Naskar:
Eliminating the effects of illumination condition in feature based camera model identification. J. Vis. Commun. Image Represent. 52: 24-32 (2018) - [c17]Jamimamul Bakas
MPEG Double Compression Based Intra-Frame Video Forgery Detection using CNN. ICIT 2018: 221-226 - [c16]Aniket Roy, Diangarti Bhalang Tariang
Discrete Cosine Transform Residual Feature Based Filtering Forgery and Splicing Detection in JPEG Images. CVPR Workshops 2018: 1552-1560 - [c15]Venkata Udaya Sameer, Ishaan Dali, Ruchira Naskar:
A Deep Learning Based Digital Forensic Solution to Blind Source Identification of Facebook Images. ICISS 2018: 291-303 - [c14]Jamimamul Bakas
A Digital Forensic Technique for Inter-Frame Video Forgery Detection Based on 3D CNN. ICISS 2018: 304-317 - [c13]Jamimamul Bakas
Re-compression Based JPEG Tamper Detection and Localization Using Deep Neural Network, Eliminating Compression Factor Dependency. ICISS 2018: 318-341 - [c12]Venkata Udaya Sameer, Ruchira Naskar:
Universal Wavelet Relative Distortion: A New Counter-Forensic Attack on Photo Response Non-Uniformity Based Source Camera Identification. ISPEC 2018: 37-49 - 2017
- [j6]Rahul Dixit, Ruchira Naskar, Swati Mishra:
Blur-invariant copy-move forgery detection technique with improved detection accuracy utilising SWT-SVD. IET Image Process. 11(5): 301-309 (2017) - [j5]Rahul Dixit, Ruchira Naskar:
Review, analysis and parameterisation of techniques for copy-move forgery detection in digital images. IET Image Process. 11(9): 746-759 (2017) - [j4]Shubhank Gupta, Aditi Panda, Ruchira Naskar, Dinesh Kumar Mishra, Snehanshu Pal
Processing and refinement of steel microstructure images for assisting in computerized heat treatment of plain carbon steel. J. Electronic Imaging 26(6): 63010 (2017) - [c11]Aniket Roy, Rajat Subhra Chakraborty, Venkata Udaya Sameer, Ruchira Naskar:
Camera Source Identification Using Discrete Cosine Transform Residue Features and Ensemble Classifier. CVPR Workshops 2017: 1848-1854 - [c10]Diangarti Bhalang Tariang
Automated JPEG forgery detection with correlation based localization. ICME Workshops 2017: 226-231 - [c9]Venkata Udaya Sameer, Ruchira Naskar, Nikhita Musthyala, Kalyan Kokkalla:
Deep Learning Based Counter-Forensic Image Classification for Camera Model Identification. IWDW 2017: 52-64 - 2016
- [j3]Ruchira Naskar, Rajat Subhra Chakraborty:
A Technique to Evaluate Upper Bounds on Performance of Pixel-prediction Based Reversible Watermarking Algorithms. J. Signal Process. Syst. 82(3): 373-389 (2016) - [c8]Venkata Udaya Sameer, S. Sugumaran, Ruchira Naskar:
Digital Forensic Source Camera Identification with Efficient Feature Selection Using Filter, Wrapper and Hybrid Approaches. ICISS 2016: 409-425 - 2015
- [c7]Aniket Roy, Rajat Subhra Chakraborty, Ruchira Naskar:
Reversible Color Image Watermarking in the YCoCg-R Color Space. ICISS 2015: 480-498 - [c6]Jatin Wadhwa, Talib Ahemad, Ruchira Naskar, Rahul Dixit:
On parameterization of block based copy-move forgery detection techniques. RACS 2015: 125-130 - 2014
- [b1]Ruchira Naskar, Rajat Subhra Chakraborty:
Reversible Digital Watermarking: Theory and Practices. Synthesis Lectures on Information Security, Privacy, and Trust, Morgan & Claypool Publishers 2014, ISBN 978-3-031-01214-3 - [c5]Pankaj Malviya, Ruchira Naskar:
Digital Forensic Technique for Double Compression Based JPEG Image Forgery Detection. ICISS 2014: 437-447 - 2013
- [j2]Ruchira Naskar, Rajat Subhra Chakraborty:
Histogram-bin-shifting-based reversible watermarking for colour images. IET Image Process. 7(2): 99-110 (2013) - [j1]Ruchira Naskar, Rajat Subhra Chakraborty:
A generalized tamper localization approach for reversible watermarking algorithms. ACM Trans. Multim. Comput. Commun. Appl. 9(3): 19:1-19:22 (2013) - 2012
- [c4]Ruchira Naskar, Rajat Subhra Chakraborty:
Fuzzy Inference Rule Based Reversible Watermarking for Digital Images. ICISS 2012: 149-163 - [c3]Ruchira Naskar, Rajat Subhra Chakraborty:
Lossless secret image sharing based on generalized: LSB replacement. RACS 2012: 290-295 - 2011
- [c2]Ruchira Naskar, Rajat Subhra Chakraborty:
Reversible Image Watermarking through Coordinate Logic Operation Based Prediction. ICISS 2011: 190-203 - [c1]Sambaran Bandyopadhyay, Ruchira Naskar, Rajat Subhra Chakraborty:
Reversible Watermarking Using Priority Embedding through Repeated Application of Integer Wavelet Transform. InfoSecHiComNet 2011: 45-56 - 2010
- [i1]Ruchira Naskar, Indranil Sengupta:
Secret Sharing and Proactive Renewal of Shares in Hierarchical Groups. CoRR abs/1006.1192 (2010)
Coauthor Index
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last updated on 2024-12-13 19:14 CET by the dblp team
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