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We investigate adversarial attacks for autoencoders. We propose a procedure that distorts the input image to mislead the autoencoder in reconstructing a completely different target image. We attack the internal latent representations, attempting to make the adversarial input produce an internal representation as similar as possible as the target's. We find(More)
HISTORY Our team has worked on melanoma classification since early 2014 [1], and has employed deep learning with transfer learning for that task since 2015 [2]. Recently, the community has started to move from traditional techniques towards deep learning, following the general trend of computer vision [3]. Deep learning poses a challenge for medical(More)
This paper presents a physical approach to simulate image represented objects' behaviour. The Finite Element Method (FEM) is employed to physically model the given objects, then modal analysis is used to match some objects' nodes (by solving the related eigenvalue/vector problem and analysing each node displacement in the respective modal space (Sclaroff,(More)
Our team has worked on melanoma classification since early 2014 [1], and has employed deep learning with transfer learning for that task since 2015 [2]. Recently, the community has started to move from traditional techniques towards deep learning, following the general trend of computer vision [3]. Deep learning poses a challenge for medical applications,(More)
Spatial division multiplexing (SDM) is seen as an effective technique to overcome the present limits of fiber capacity and satisfy future bandwidth requirements, by substantially increasing optical transport capacities [1-5]. Similarly to single-mode fiber based modern telecommunication systems, the nonlinear penalties will eventually become the ultimate(More)
The dynamic equilibrium equation can be used between objects' images to physically simulate their transformation. Given two images of the same object or images of different objects, a temporal estimation of the represented deformation can be made, according to the properties of the used virtual material and also attending to the applied charges on the built(More)
In this paper we present a comprehensive analysis and a performance assessment on the transmission of digitised RF signals over optical fibre (DRoF). Specifically, a study of the impact of the ADC/DAC quantization, jitter noise and the signal attenuation caused by the sub-sampling technique and DAC frequency roll-off are addressed by means of simulation,(More)
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