I. Amerini, L. Ballan, R. Caldelli, A. D. Bimbo, L. D. Tongo et al., Copymove forgery detection and localization by means of robust clustering with jlinkage, Signal Processing: Image Communication (SPIC), 2013.

I. Amerini, L. Ballan, R. Caldelli, D. Bimbo, A. Serra et al., A SIFT-Based Forensic Method for Copy–Move Attack Detection and Transformation Recovery, IEEE Transactions on Information Forensics and Security, vol.6, issue.3, 2011.
DOI : 10.1109/TIFS.2011.2129512

A. Babenko and V. S. Lempitsky, Aggregating local deep features for image retrieval, Int. Conf. on Computer Vision (ICCV), 2015.

A. Babenko, A. Slesarev, A. Chigorin, and V. Lempitsky, Neural Codes for Image Retrieval, European Conf. on Computer Vision (ECCV), 2014.
DOI : 10.1007/978-3-319-10590-1_38

B. Bayar and M. C. Stamm, A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer, Proceedings of the 4th ACM Workshop on Information Hiding and Multimedia Security, IH&MMSec '16, 2016.
DOI : 10.1109/CVPR.2015.7298594

V. Christlein, C. Riess, and E. Angelopoulou, On rotation invariance in copy-move forgery detection, 2010 IEEE International Workshop on Information Forensics and Security, 2010.
DOI : 10.1109/WIFS.2010.5711472

V. Christlein, C. Riess, J. Jordan, C. Riess, and E. Angelopoulou, An Evaluation of Popular Copy-Move Forgery Detection Approaches, IEEE Transactions on Information Forensics and Security, vol.7, issue.6, 2012.
DOI : 10.1109/TIFS.2012.2218597

D. Cozzolino, G. Poggi, and L. Verdoliva, Efficient Dense-Field Copy–Move Forgery Detection, IEEE Transactions on Information Forensics and Security, vol.10, issue.11, 2015.
DOI : 10.1109/TIFS.2015.2455334

A. Dixit, R. Dixit, and R. K. Gupta, Detection of Copy-Move Forgery Exploiting LBP Features with Discrete Wavelet Transform, International Journal of Computer Applications, vol.153, issue.3, 2016.
DOI : 10.5120/ijca2016911979

Y. Fan, Y. S. Zhu, and Z. Liu, An improved sift-based copy-move forgery detection method using t-linkage and multi-scale analysis, IHMSP, 2016.

J. Fridrich and J. Kodovsky, Rich Models for Steganalysis of Digital Images, IEEE Transactions on Information Forensics and Security, vol.7, issue.3, 2012.
DOI : 10.1109/TIFS.2012.2190402

H. Jegou, M. Douze, and C. Schmid, Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search, European Conf. on Computer Vision (ECCV), 2008.
DOI : 10.1109/CVPR.2007.383150
URL : https://hal.archives-ouvertes.fr/inria-00316866

Y. Li and J. Zhou, Image copy-move forgery detection using hierarchical feature point matching, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016.
DOI : 10.1109/APSIPA.2016.7820758

C. Maigrot, V. Claveau, E. Kijak, and R. Sicre, Mediaeval 2016: A multimodal system for the verifying multimedia use task, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01394785

Q. T. Phan, A. Budroni, C. Pasquini, and F. G. De-natale, A hybrid approach for multimedia use verification, 2016.

Y. Rao and J. Ni, A deep learning approach to detection of splicing and copy-move forgeries in images, 2016 IEEE International Workshop on Information Forensics and Security (WIFS), 2016.
DOI : 10.1109/WIFS.2016.7823911

A. S. Razavian, H. Azizpour, J. Sullivan, and S. Carlsson, CNN Features Off-the-Shelf: An Astounding Baseline for Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, p.CVPR Workshops, 2014.
DOI : 10.1109/CVPRW.2014.131

R. Sicre and T. Gevers, DENSE sampling of features for image retrieval, 2014 IEEE International Conference on Image Processing (ICIP), pp.3057-3061, 2014.
DOI : 10.1109/ICIP.2014.7025618

R. Sicre and H. Jégou, Memory Vectors for Particular Object Retrieval with Multiple Queries, Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, ICMR '15, 2015.
DOI : 10.1145/1178677.1178722

R. Sicre and F. Jurie, Discriminative part model for visual recognition, Computer Vision and Image Understanding, vol.141, 2015.
DOI : 10.1016/j.cviu.2015.08.002
URL : https://hal.archives-ouvertes.fr/hal-01132389

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, ICLR, 2014.

G. Tolias, R. Sicre, and H. Jégou, Particular object retrieval with integral maxpooling of CNN activations, p.ICLR, 2016.

A. D. Warbhe, R. Dharaskar, and V. Thakare, A Survey on Keypoint Based Copy-paste Forgery Detection Techniques, Procedia Computer Science, vol.78, 2016.
DOI : 10.1016/j.procs.2016.02.011