Belhassen Bayar
Belhassen Bayar
Applied Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
A deep learning approach to universal image manipulation detection using a new convolutional layer
B Bayar, MC Stamm
The 2016 ACM Workshop on Information Hiding and Multimedia Security, 2016
3122016
Constrained convolutional neural networks: a new approach towards general purpose image manipulation detection
B Bayar, MC Stamm
IEEE Transactions on Information Forensics and Security, 2018
1262018
Design principles of convolutional neural networks for multimedia forensics
B Bayar, MC Stamm
The 2017 IS&T International Symposium on Electronic Imaging: Media …, 2017
732017
On the robustness of constrained convolutional neural networks to JPEG post-compression for image resampling detection
B Bayar, MC Stamm
The 42nd IEEE International Conference on Acoustics, Speech and Signal …, 2017
472017
Augmented convolutional feature maps for robust cnn-based camera model identification
B Bayar, MC Stamm
The 2017 IEEE International Conference on Image Processing (ICIP'17), 2017
342017
Towards open set camera model identification using a deep learning framework
B Bayar, MC Stamm
The 43rd IEEE International Conference on Acoustics, Speech and Signal …, 2018
272018
Probabilistic non-negative matrix factorization: theory and application to microarray data analysis
B Bayar, N Bouaynaya, R Shterenberg
Journal of bioinformatics and computational biology 12 (01), 1450001, 2014
242014
A generic approach towards image manipulation parameter estimation using convolutional neural networks
B Bayar, MC Stamm
The 2017 ACM Workshop on Information Hiding and Multimedia Security, 2017
232017
Learning unified deep-features for multiple forensic tasks
O Mayer, B Bayar, MC Stamm
The 2018 ACM Workshop on Information Hiding and Multimedia Security, 2018
162018
Video camera model identification system using deep learning and fusion
B Hosler, O Mayer, B Bayar, X Zhao, C Chen, J Shackleford, MC Stamm
The 44th IEEE International Conference on Acoustics, Speech and Signal …, 2019
142019
Towards order of processing operations detection in jpeg-compressed images with convolutional neural networks
B Bayar, MC Stamm
The 2018 IS&T International Symposium on Electronic Imaging: Media …, 2018
112018
SMURC: High-Dimension Small-Sample Multivariate Regression with Covariance Estimation
B Bayar, N Bouaynaya, R Shterenberg
IEEE Journal of Biomedical and Health Informatics, 2017
72017
Kernel Reconstruction: an Exact Greedy Algorithm for Compressive Sensing
B Bayar, N Bouaynaya, R Shterenberg
The 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014
62014
Inference of genetic regulatory networks with unknown covariance structure
B Bayar, N Bouaynaya, R Shterenberg
The 2013 IEEE International Workshop on Genomic Signal Processing and …, 2013
12013
Deep Learning Techniques for Multimedia Forensics
B Bayar
Drexel University, 2018
2018
Optimization algorithms for inference and classification of genetic profiles from undersampled measurements
B Bayar
Rowan University, 2014
2014
Early Diagnosis of Alzheimers Disease and Features Selection
B Bayar
Rowan University, 2013
2013
Clustering gene expression data using probabilistic non-negative matrix factorization
B Bayar, N Bouaynaya, R Shterenberg
The 2011 IEEE International Workshop on Genomic Signal Processing and …, 2011
2011
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Articles 1–18