Media Forensics Integrity Analytics

Media Forensics (MediFor)

Publications

Journal Papers

1) C.-C. Jay Kuo, "Understanding convolutional neural networks with a mathematical model", Journal of Visual Communications and Image Representation, vol. 41, pp. 406-413, November 2016. DOI: 10.1016/J.JVCIR.2016.11.003

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, vol. 11, no. 12, pp. 1–35, December 2016. DOI: 10.1371/journal.pone.0167822

3) 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, vol. 24, no. 3, pp. 259-263, March 2017. DOI: 10.1109/LSP.2016.2641006

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

5) 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

6) 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

7) 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

8) R. Salloum, Y. Ren, C.-C. Jay Kuo, "Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)", Journal of Visual Communication and Image Representation, vol. 51, pp. 201-209, January 2018. DOI: 10.1016/J.JVCIR.2018.01.010

9) C.-C. Jay Kuo, Y. Chen, "On data-driven Saak transform", Journal of Visual Communication and Image Representation, vol. 50, pp. 237-246, January 2018. DOI: 10.1016/J.JVCIR.2017.11.023

10) D. Moreira, A. Bharati, J. Brogan, A. Pinto, M. Parowski, K. W. Bowyer, P. J. Flynn, A. Rocha, W. J. Scheirer, "Image Provenance Analysis at Scale", IEEE Transactions on Image Processing, vol. 27, no. 12, pp. 6109-6123, July 2018. DOI: 10.1109/TIP.2018.2865674

11) L. Bondi, P. Bestagini, F. Pérez-González, S. Tubaro, "Improving PRNU Compression through Preprocessing, Quantization and Coding", IEEE Transactions on Information Forensics and Security, vol. 14, no. 3, pp. 608-620, July 2018. DOI: 10.1109/TIFS.2018.2859587

12) M. Barni, H. Santoyo-Garcia, B. Tondi, "An Improved Statistic for the Pooled Triangle Test against PRNU-Copy Attack", IEEE Signal Processing Letters, vol. 25, no. 10, pp. 1435-1439, October 2018. DOI: 10.1109/LSP.2018.2863045

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, December 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, December 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, December 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), vol. 2017, no. 7, pp. 67-76, Burlingame, California, January 2017. DOI: 10.2352/ISSN.2470-1173.2017.7.MWWSF-327

5) 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), pp. 1840-1847, Honolulu, Hawaii, July 2017. DOI: 10.1109/CVPRW.2017.230

6) 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), pp. 1855-1864, Honolulu, Hawaii, July 2017. DOI: 10.1109/CVPRW.2017.232

7) S. Milani, P. Bestagini, S. Tubaro, "Video Phylogeny Tree Reconstruction Using Aging Measures", European Signal Processing Conference (EUSIPCO), pp. 2181-2185, Kos, Greece, August 2017. DOI: 10.23919/EUSIPCO.2017.8081596

8) M. Barni, E. Nowroozi, B. Tondi, "Higher-Order, Adversary-Aware, Double JPEG-Detection via Selected Training on Attacked Samples", European Signal Processing Conference (EUSIPCO), pp. 281-285, Kos, Greece, August 2017. DOI: 10.23919/EUSIPCO.2017.8081213

9) 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), pp. 1517-1521, Beijing, China, September 2017. DOI: 10.1109/ICIP.2017.8296535

10) 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), pp. 1502-1506, Beijing, China, September 2017. DOI: 10.1109/ICIP.2017.8296532

11 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), pp. 4078-4082, Beijing, China, September 2017. DOI: 10.1109/ICIP.2017.8297049

12) S. Lameri, L. Bondi, P. Bestagini, S. Tubaro, "Near-Duplicate Video Detection Exploiting Noise Residual Traces", IEEE International Conference on Image Processing (ICIP), pp. 1497-1501, Beijing, China, September 2017. DOI: 10.1109/ICIP.2017.8296531

13) S. Mandelli, L. Bondi, S. Lameri, V. Lipari, P. Bestagini, S. Tubaro, "Inpainting-Based Camera Anonymization", IEEE International Conference on Image Processing (ICIP), pp. 1522-1526, Beijing, China, September 2017. DOI: 10.1109/ICIP.2017.8296536

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), Rennes, France, December 2017. DOI: 10.1109/WIFS.2017.8267668

15) L. Bondi, F. Pérez-González, P. Bestagini, S. Tubaro, "Design of Projection Matrices for PRNU Compression", IEEE Workshop on Information Forensics and Security (WIFS), Rennes, France, December 2017. DOI: 10.1109/WIFS.2017.8267652

16) S. Verde, S. Milani, P. Bestagini, S. Tubaro, "Audio Phylogenetic Analysis using Geometric Transforms", IEEE Workshop on Information Forensics and Security (WIFS), Rennes, France, December 2017. DOI: 10.1109/WIFS.2017.8267650

17) S. K. Yarlagadda, D. Güera, P. Bestagini, F. Zhu, S. Tubaro, E. J. Delp, "Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier", IS&T Electronic Imaging (EI), vol. 2018, no. 7, pp. 214-1-214-9, Burlingame, California, January 2018. DOI: 10.2352/ISSN.2470-1173.2018.07.MWSF-214

18) 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), pp. 964-973, Lake Tahoe, Nevada, February 2018. DOI: 10.1109/WACV.2018.00111

19) S. Mandelli, N. Bonettini, P. Bestagini, V. Lipari, S. Tubaro, "Multiple JPEG Compression Detection through Task-driven Non-negative Matrix Factorization", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2106-2110, Calgary, Canada, April 2018. DOI: 10.1109/ICASSP.2018.8461904

20) M. Barni, E. Nowroozi, B. Tondi, "Detection of Adaptive Histogram Equalization Robust Against JPEG Compression", IAPR/IEEE International Workshop on Biometrics and Forensics (IWBF), pp. 1-8, Sassari, Italy, June 2018. DOI: 10.1109/IWBF.2018.8401564

21) M. Barni, M. Stamm, B. Tondi, "Adversarial Multimedia Forensics: Overview and Challenges Ahead", European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018 (To appear).

22) N. Bonettini, L. Bondi, D. Güera, S. Mandelli, P. Bestagini, S. Tubaro, E. J. Delp, "Fooling PRNU-Based Detectors Through Convolutional Neural Networks", European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018 (To appear).

23) S. Mandelli, D. Cozzolino, P. Bestagini, L. Verdoliva, S. Tubaro, "Blind Detection and Localiza tion of Video Temporal Splicing Exploiting Sensor-Based Footprints", European Signal Processing Conference (EUSIPCO), Rome, Italy, September 2018 (To appear).

24) M. Barni, A. Costanzo, E. Nowroozi, B. Tondi, "CNN-based Detection of Generic Contrast Adjustment with JPEG Post-processing", IEEE International Conference on Image Processing (ICIP), pp. 3803-3807, Athens, Greece, October 2018. DOI: 10.1109/ICIP.2018.8451698

25) S. Verde, L. Bondi, P. Bestagini, S. Milani, G. Calvagno, S. Tubaro, "Video Codec Forensics Based on Convolutional Neural Networks", IEEE International Conference on Image Processing (ICIP), pp. 530-534, Athens, Greece, October 2018. DOI: 10.1109/ICIP.2018.8451143

26) D. Güera, E. J. Delp, "Deepfake Video Detection Using Recurrent Neural Networks", IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS), Auckland, New Zealand, November 2018 (To appear).

Press Releases

A Purdue University press release of our project

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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.