Perceptual Quality-Preserving Black-Box Attack Against Deep Learning Image Classifiers | 0 | 0.34 | 2021 |
Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art. | 0 | 0.34 | 2021 |
Deep Learning In The Ultrasound Evaluation Of Neonatal Respiratory Status | 0 | 0.34 | 2020 |
Combining PRNU and noiseprint for robust and efficient device source identification. | 0 | 0.34 | 2020 |
Do GANs leave artificial fingerprints? | 18 | 0.80 | 2019 |
A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets. | 0 | 0.34 | 2019 |
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers. | 1 | 0.34 | 2019 |
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis. | 0 | 0.34 | 2018 |
On the vulnerability of deep learning to adversarial attacks for camera model identification. | 5 | 0.45 | 2018 |
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa. | 1 | 0.36 | 2018 |
Analysis of adversarial attacks against CNN-based image forgery detectors. | 0 | 0.34 | 2018 |
Detection of GAN-Generated Fake Images over Social Networks | 5 | 0.60 | 2018 |
LivDet iris 2017 — Iris liveness detection competition 2017 | 4 | 0.39 | 2017 |
Retinal Vessels Segmentation Based on a Convolutional Neural Network. | 0 | 0.34 | 2017 |
An Unsupervised Approach for Eye Sclera Segmentation. | 0 | 0.34 | 2017 |
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network. | 0 | 0.34 | 2016 |
Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications | 0 | 0.34 | 2016 |
Using iris and sclera for detection and classification of contact lenses | 3 | 0.37 | 2016 |
SAR Image Despeckling by Soft Classification. | 1 | 0.35 | 2016 |
An Investigation of Local Descriptors for Biometric Spoofing Detection | 44 | 1.08 | 2015 |
Sar Despeckling Based On Soft Classification | 0 | 0.34 | 2015 |
The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks | 11 | 0.61 | 2015 |
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques | 29 | 0.90 | 2014 |
Image forgery detection through residual-based local descriptors and block-matching | 30 | 0.94 | 2014 |
Image forgery detection based on the fusion of machine learning and block-matching methods. | 2 | 0.40 | 2013 |
A novel framework for image forgery localization. | 5 | 0.46 | 2013 |
A convex variational approach for multiple removal in seismic data. | 3 | 0.41 | 2012 |