Media Forensics Integrity Analytics

Media Forensics (MediFor)

Publications

Journal Papers

1) L. Bondi, L. Baroffio, D. Güera, P. Bestagini, E. J. Delp, S. Tubaro, "First Steps Towards Camera Model Identification with Convolutional Neural Networks", IEEE Signal Processing Letters, 2016. DOI : 10.1109/LSP.2016.2641006.

2) G. Marmerola, M. Oikawa, Z. Dias, S. Goldenstein, A. Rocha, "On the Reconstruction of Text Phylogeny Trees: Evaluation and Analysis of Textual Relationships", PLOSONE, v. 11, issue 12, pp. 1–35, 2016. DOI : 10.1371/journal.pone.0167822.

3) C.-C. Jay Kuo,"Understanding convolutional neural networks with a mathematical model", The Journal of Visual Communications and Image Representation, Vol. 41, pp. 406-413, November 2016. DOI : 10.1016/j.jvcir.2016.11.003.

4) C.-C. Jay Kuo, "The CNN as a guided multi-layer RECOS transform", The IEEE Signal Processing Magazine, Vol. 34, No. 3, pp. 81-89, May 2017. DOI : 10.1109/MSP.2017.2671158.

5) M. Barni, L. Bondi, N. Bonettini, P. Bestagini, A. Costanzo, M. Maggini, B. Tondi, S. Tubaro, "Aligned and non-aligned double JPEG detection using convolutional neural networks", Journal of Visual Communication and Image Representation, vol. 49, pp. 153-163, November 2017. DOI : 10.1016/j.jvcir.2017.09.003.

6) F. Costa, A. Oliveira, P. Ferrara, Z. Dias, S. Goldenstein, A. Rocha, "New Dissimilarity Measures for Image Phylogeny Reconstruction", Pattern Analysis and Applications, vol. 20, no. 4, pp. 1289-1305, November 2017. DOI : 10.1007/s10044-017-0616-9.

7) S. Vatansever, A. E. Dirik, N. Memon, "Detecting the Presence of ENF Signal in Digital Videos: A Superpixel-Based Approach", IEEE Signal Processing Letters, vol. 24, no. 10, pp. 1463-1467, October 2017. DOI : 10.1109/LSP.2017.2741440.

Conference Papers

1) F. Costa, S. Lameri, P. Bestagini, Z. Dias, S. Tubaro, A. Rocha, "Hash-Based Frame Selection for Video Phylogeny", IEEE International Workshop on Information Forensics and Security (WIFS), Abu Dhabi, UAE, 2016. DOI : 10.1109/WIFS.2016.7823906.

2) M. Barni, Z. Chen, B. Tondi, Adversary-aware, data-driven detection of double JPEG compression: how to make counter-forensics harder", IEEE International Workshop on Information Forensics and Security (WIFS), Abu Dhabi, UAE, 2016. DOI : 10.1109/WIFS.2016.7823902.

3) S. Milani, P. Bestagini, S. Tubaro, "Phylogenetic analysis of near-duplicate and semantically-similar images using viewpoint localization", IEEE International Workshop on Information Forensics and Security (WIFS), Abu Dhabi, UAE, 2016. DOI : 10.1109/WIFS.2016.7823909.

4) L. Bondi, D. Güera, L. Baroffio, P. Bestagini, E. J. Delp, S. Tubaro, "A Preliminary Study on Convolutional Neural Networks for Camera Model Identification", IS&T Electronic Imaging (EI), 2017. DOI : 10.2352/ISSN.2470-1173.2017.7.MWWSF-327.

5) J. Brogan, P. Bestagini, A. Bharati, A. Pinto, D. Moreira, K. Bowyer, P. Flynn, A. Rocha, W. Scheirer, "Spotting the Difference: Context Retrieval and Analysis for Improved Forgery Detection and Localization", IEEE International Conference on Image Processing (ICIP), 2017.

6) S. Lameri, L. Bondi, P. Bestagini, S. Tubaro, "Near-Duplicate Video Detection Exploiting Noise Residual Traces", IEEE International Conference on Image Processing (ICIP), 2017.

7) D. Güera, Y. Wang, L. Bondi, P. Bestagini, S. Tubaro, E. J. Delp, "A Counter-Forensic Method for CNN-Based Camera Model Identification", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2017.

8) L. Bondi, S. Lameri, D. Güera, P. Bestagini, E. J. Delp, S. Tubaro, "Tampering Detection and Localization through Clustering of Camera-Based CNN Features", IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2017.

9) S. Milani, P. Bestagini, S. Tubaro, "Video Phylogeny Tree Reconstruction Using Aging Measures", European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017.

10) M. Barni, E. Nowroozi, B. Tondi, “Higher-Order, Adversary-Aware, Double JPEG-Detection via Selected Training on Attacked Samples”, European Signal Processing Conference (EUSIPCO), Kos, Greece, 2017.

11) A. Bharati, D. Moreira, A. Pinto, J. Brogan, K. Bowyer, P. Flynn, W. J. Scheirer, A. Rocha, "U-Phylogeny: Undirected Provenance Graph Construction in the Wild", IEEE International Conference on Image Processing (ICIP), 2017.

12) A. Pinto, D. Moreira, A. Bharati, J. Brogan, K. Bowyer, P. Flynn, W. J. Scheirer, A. Rocha, "Provenance Filtering for Multimedia Phylogeny", IEEE International Conference on Image Processing (ICIP), 2017.

13) D. Güera, S. K. Yarlagadda, P. Bestagini, F. Zhu, S. Tubaro, E. J. Delp, "Reliability Map Estimation For CNN-Based Camera Model Attribution", IEEE Winter Conference on Applications of Computer Vision (WACV), Accepted, 2017.

14) Z.Chen, B.Tondi, X. Li, R. Ni, Y. Zhao, M. Barni, "A gradient-based pixel-domain attack against SVM detection of global image manipulation", IEEE Workshop on Information Forensics and Security (WIFS), Accepted, 2017.

Press Releases

A Purdue University press release of our project

A WLFI-TV report of our project

This material is based on research sponsored by DARPA and the Air Force Research Laboratory (AFRL) under agreement number FA8750-16-2-0173. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of DARPA and the Air Force Research Laboratory (AFRL) or the U.S. Government.