Mislgan: An Anti-Forensic Camera Model Falsification Framework Using A Generative Adversarial Network
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[1] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[2] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] K. J. Ray Liu,et al. Temporal Forensics and Anti-Forensics for Motion Compensated Video , 2012, IEEE Transactions on Information Forensics and Security.
[4] Hui Zeng,et al. Countering anti-forensics of image resampling , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[5] Matthew C. Stamm,et al. Detecting anti-forensic attacks on demosaicing-based camera model identification , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[6] Hany Farid,et al. Digital Image Authentication From JPEG Headers , 2011, IEEE Transactions on Information Forensics and Security.
[7] Paolo Bestagini,et al. First Steps Toward Camera Model Identification With Convolutional Neural Networks , 2016, IEEE Signal Processing Letters.
[8] Stefano Tubaro,et al. Revealing the Traces of JPEG Compression Anti-Forensics , 2013, IEEE Transactions on Information Forensics and Security.
[9] Nasir D. Memon,et al. Source camera identification based on CFA interpolation , 2005, IEEE International Conference on Image Processing 2005.
[10] Mauro Barni,et al. Adversary-aware, data-driven detection of double JPEG compression: How to make counter-forensics harder , 2016, 2016 IEEE International Workshop on Information Forensics and Security (WIFS).
[11] Min Wu,et al. Nonintrusive component forensics of visual sensors using output images , 2007, IEEE Transactions on Information Forensics and Security.
[12] Marc Chaumont,et al. Camera model identification with the use of deep convolutional neural networks , 2016, 2016 IEEE International Workshop on Information Forensics and Security (WIFS).
[13] Hui Zeng,et al. Countering anti-forensics of median filtering , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[14] Monika Jain,et al. Anti-forensic technique for median filtering using L1-L2 TV model , 2016, 2016 IEEE International Workshop on Information Forensics and Security (WIFS).
[15] Matthew C. Stamm,et al. Camera model identification framework using an ensemble of demosaicing features , 2015, 2015 IEEE International Workshop on Information Forensics and Security (WIFS).
[16] Belhassen Bayar,et al. Augmented convolutional feature maps for robust CNN-based camera model identification , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[17] Matthew C. Stamm,et al. Learned Forensic Source Similarity for Unknown Camera Models , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[18] Paolo Bestagini,et al. A Counter-Forensic Method for CNN-Based Camera Model Identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[19] Belhassen Bayar,et al. Constrained Convolutional Neural Networks: A New Approach Towards General Purpose Image Manipulation Detection , 2018, IEEE Transactions on Information Forensics and Security.
[20] Rob Fergus,et al. Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks , 2015, NIPS.
[21] Min Wu,et al. Information Forensics: An Overview of the First Decade , 2013, IEEE Access.
[22] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[23] K. J. Ray Liu,et al. Anti-forensics of JPEG compression , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[24] Heung-Kyu Lee,et al. Median Filtered Image Restoration and Anti-Forensics Using Adversarial Networks , 2018, IEEE Signal Processing Letters.
[25] Rainer Böhme,et al. Hiding Traces of Resampling in Digital Images , 2008, IEEE Transactions on Information Forensics and Security.
[26] Matthew C. Stamm,et al. Computationally efficient demosaicing filter estimation for forensic camera model identification , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[27] K. J. Ray Liu,et al. Forensics vs. anti-forensics: A decision and game theoretic framework , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[28] Belhassen Bayar,et al. Towards Open Set Camera Model Identification Using a Deep Learning Framework , 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[29] Alex ChiChung Kot,et al. Accurate Detection of Demosaicing Regularity for Digital Image Forensics , 2009, IEEE Transactions on Information Forensics and Security.
[30] Florent Retraint,et al. Camera Model Identification Based on the Heteroscedastic Noise Model , 2014, IEEE Transactions on Image Processing.
[31] Rainer Böhme,et al. The 'Dresden Image Database' for benchmarking digital image forensics , 2010, SAC '10.
[32] Belhassen Bayar,et al. Design Principles of Convolutional Neural Networks for Multimedia Forensics , 2017, Media Watermarking, Security, and Forensics.
[33] K. J. Ray Liu,et al. Anti-forensics of median filtering , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[34] Mo Chen,et al. Determining Image Origin and Integrity Using Sensor Noise , 2008, IEEE Transactions on Information Forensics and Security.
[35] Min Wu,et al. Robustness of Color Interpolation Identification against Anti-forensic Operations , 2012, Information Hiding.
[36] Paolo Bestagini,et al. Tampering Detection and Localization Through Clustering of Camera-Based CNN Features , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[37] Mauro Barni,et al. Hiding traces of median filtering in digital images , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).