Name
Papers
Collaborators
DIEGO GRAGNANIELLO
27
51
Citations 
PageRank 
Referers 
162
12.51
404
Referees 
References 
665
321
Search Limit
100665
Title
Citations
PageRank
Year
Perceptual Quality-Preserving Black-Box Attack Against Deep Learning Image Classifiers00.342021
Are GAN Generated Images Easy to Detect? A Critical Analysis of the State-Of-The-Art.00.342021
Deep Learning In The Ultrasound Evaluation Of Neonatal Respiratory Status00.342020
Combining PRNU and noiseprint for robust and efficient device source identification.00.342020
Do GANs leave artificial fingerprints?180.802019
A New Unsupervised Approach for Segmenting and Counting Cells in High-Throughput Microscopy Image Sets.00.342019
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers.10.342019
Learning-based approach to segment pigment signs in fundus images for Retinitis Pigmentosa analysis.00.342018
On the vulnerability of deep learning to adversarial attacks for camera model identification.50.452018
Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa.10.362018
Analysis of adversarial attacks against CNN-based image forgery detectors.00.342018
Detection of GAN-Generated Fake Images over Social Networks50.602018
LivDet iris 2017 — Iris liveness detection competition 201740.392017
Retinal Vessels Segmentation Based on a Convolutional Neural Network.00.342017
An Unsupervised Approach for Eye Sclera Segmentation.00.342017
Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network.00.342016
Scale Invariant Descriptor for Content Based Image Retrieval in Biomedical Applications00.342016
Using iris and sclera for detection and classification of contact lenses30.372016
SAR Image Despeckling by Soft Classification.10.352016
An Investigation of Local Descriptors for Biometric Spoofing Detection441.082015
Sar Despeckling Based On Soft Classification00.342015
The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks110.612015
Image forgery localization through the fusion of camera-based, feature-based and pixel-based techniques290.902014
Image forgery detection through residual-based local descriptors and block-matching300.942014
Image forgery detection based on the fusion of machine learning and block-matching methods.20.402013
A novel framework for image forgery localization.50.462013
A convex variational approach for multiple removal in seismic data.30.412012