research
∙
04/17/2020
Adversarial Attack on Deep Learning-Based Splice Localization
Regarding image forensics, researchers have proposed various approaches ...
share
research
∙
08/07/2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations
Adversarial examples contain small perturbations that can remain imperce...
research
∙
01/04/2018
Facial Attributes: Accuracy and Adversarial Robustness
Facial attributes, emerging soft biometrics, must be automatically and r...
research
∙
08/05/2017
Adversarial Robustness: Softmax versus Openmax
Deep neural networks (DNNs) provide state-of-the-art results on various ...
research
∙
12/01/2016
Towards Robust Deep Neural Networks with BANG
Machine learning models, including state-of-the-art deep neural networks...
research
∙
11/18/2016
LOTS about Attacking Deep Features
Deep neural networks provide state-of-the-art performance on various tas...
research
∙
11/18/2016
AFFACT - Alignment-Free Facial Attribute Classification Technique
Facial attributes are soft-biometrics that allow limiting the search spa...
research
∙
10/14/2016
Are Accuracy and Robustness Correlated?
Machine learning models are vulnerable to adversarial examples formed by...
research
∙
10/13/2016
Assessing Threat of Adversarial Examples on Deep Neural Networks
Deep neural networks are facing a potential security threat from adversa...
research
∙
03/19/2016