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A Deep Learning Approach to Universal Image Manipulation Detection Using a New Convolutional Layer.

, and . IH&MMSec, page 5-10. ACM, (2016)

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On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection., and . ICASSP, page 2152-2156. IEEE, (2017)A Video Camera Model Identification System Using Deep Learning and Fusion., , , , , , and . ICASSP, page 8271-8275. IEEE, (2019)SMURC: High-Dimension Small-Sample Multivariate Regression With Covariance Estimation., , and . IEEE J. Biomed. Health Informatics, 21 (2): 573-581 (2017)Learning Unified Deep-Features for Multiple Forensic Tasks., , and . IH&MMSec, page 79-84. ACM, (2018)Towards Open Set Camera Model Identification Using a Deep Learning Framework., and . ICASSP, page 2007-2011. IEEE, (2018)Inference of genetic regulatory networks with unknown covariance structure., , and . GENSiPS, page 74-77. IEEE, (2013)Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection., and . IEEE Trans. Inf. Forensics Secur., 13 (11): 2691-2706 (2018)A Generic Approach Towards Image Manipulation Parameter Estimation Using Convolutional Neural Networks., and . IH&MMSec, page 147-157. ACM, (2017)Augmented convolutional feature maps for robust CNN-based camera model identification., and . ICIP, page 4098-4102. IEEE, (2017)Clustering gene expression data using probabilistic non-negative matrix factorization., , and . GENSiPS, page 143-146. IEEE, (2011)