Search results for "adversarial"
showing 10 items of 30 documents
FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-Scale Features and Factorized Channel Attention
2019
International audience; Skin lesion segmentation in dermoscopic images is still a challenge due to the low contrast and fuzzy boundaries of lesions. Moreover, lesions have high similarity with the healthy regions in terms of appearance. In this paper, we propose an accurate skin lesion segmentation model based on a modified conditional generative adversarial network (cGAN). We introduce a new block in the encoder of cGAN called factorized channel attention (FCA), which exploits both channel attention mechanism and residual 1-D kernel factorized convolution. The channel attention mechanism increases the discriminability between the lesion and non-lesion features by taking feature channel int…
Generating Hyperspectral Skin Cancer Imagery using Generative Adversarial Neural Network
2020
In this study we develop a proof of concept of using generative adversarial neural networks in hyperspectral skin cancer imagery production. Generative adversarial neural network is a neural network, where two neural networks compete. The generator tries to produce data that is similar to the measured data, and the discriminator tries to correctly classify the data as fake or real. This is a reinforcement learning model, where both models get reinforcement based on their performance. In the training of the discriminator we use data measured from skin cancer patients. The aim for the study is to develop a generator for augmenting hyperspectral skin cancer imagery. peerReviewed
The two faces of Nordic management? Nordic firms and their employee relations in the Baltic States
2009
This study examines Nordic management styles in union and non-union industrial enterprises in the Baltic States (Estonia, Latvia, Lithuania) through case studies of nine Nordic subsidiary companies, based on on-site interviews with management and employees.1 This analysis construes the ‘Nordic model’ of management style as ‘bargained constitutional’ or ‘sophisticated consultative’, following Purcell and Ahlstrand's (1994) matrix of management styles in the highly unionized countries of origin, characterized as coordinated market economies. The case studies reveal that in the Baltic liberal-market environment, Nordic employers exhibit a variety of management styles, ranging from sophisticate…
Using deep learning to generate synthetic B-mode musculoskeletal ultrasound images
2020
Background and objective\ud Deep learning approaches are common in image processing, but often rely on supervised learning, which requires a large volume of training images, usually accompanied by hand-crafted labels. As labelled data are often not available, it would be desirable to develop methods that allow such data to be compiled automatically. In this study, we used a Generative Adversarial Network (GAN) to generate realistic B-mode musculoskeletal ultrasound images, and tested the suitability of two automated labelling approaches.\ud \ud Methods\ud We used a model including two GANs each trained to transfer an image from one domain to another. The two inputs were a set of 100 longitu…
Adversarial Machine Learning in e-Health: Attacking a Smart Prescription System
2022
Machine learning (ML) algorithms are the basis of many services we rely on in our everyday life. For this reason, a new research line has recently emerged with the aim of investigating how ML can be misled by adversarial examples. In this paper we address an e-health scenario in which an automatic system for prescriptions can be deceived by inputs forged to subvert the model's prediction. In particular, we present an algorithm capable of generating a precise sequence of moves that the adversary has to take in order to elude the automatic prescription service. Experimental analyses performed on a real dataset of patients' clinical records show that a minimal alteration of the clinical record…
The defendant’s guilt beyond a reasonable doubt in the Italian criminal justice system
2021
The criminal law standard of Beyond A Reasonable Doubt (BARD) constitutes an evidentiary and judicial rule, formulated and applied for centuries in common law jurisdictions, which was expressly stated in the Italian Code of Criminal Procedure only about fifteen years ago. Unfortunately, the concept of reasonable doubt is inherently complex and does not easily lend itself to definition or refinement. In this regard, the Author examines especially the various positions and elaborations developed by legal literature and case-law in Italy, proposing a specific interpretation of the BARD rule that enhances and completes the particular procedural connotations of the adversarial system adopted i…
Groups' warmth is a personal matter: Understanding consensus on stereotype dimensions reconciles adversarial models of social evaluation
2020
Abstract As proponents of two theories of social evaluation, we disagree whether people spontaneously differentiate societal groups' conservative-progressive beliefs (distinct claim of the agency-beliefs-communion or ABC model) or warmth/communion (distinct claim of the stereotype content model or SCM). Our adversarial collaboration provides one way to resolve this debate. Examining people from four continents who differentiated groups in their country (N = 2356), we found lower consensus on groups' warmth/communion compared to agency/~competence and beliefs (Studies 1–4). Consensus on groups' warmth/communion was lower because people differed in self-rated agency and beliefs, and they infe…
Comunicació i conflicte
2022
La mediació és un procés de resolució alternativa de conflictes mitjaçant una professional imparcial ajuda a les parts en disputa a arribar a un acord beneficiós per a les dos i es pot utilitzar en diversos contextos: laboral, educatiu, familiar, comunitària etc Mediation is an alternative conflict resolution process through an impartial professional helps the parties in dispute to reach an agreement beneficial to both and can be used in various contexts: work, educational, family, community etc.
Towards digital cognitive clones for the decision-makers: adversarial training experiments
2021
Abstract There can be many reasons for anyone to make a digital copy (clone) of own decision-making behavior. This enables virtual presence of a professional decision-maker simultaneously in many places and processes of Industry 4.0. Such clone can be used as one’s responsible representative when the human is not available. Pi-Mind (“Patented Intelligence”) is a technology, which enables “cloning” cognitive skills of humans using adversarial machine learning. In this paper, we present a cyber-physical environment as an adversarial learning ecosystem for cloning image classification skills. The physical component of the environment is provided by the logistic laboratory with camera-surveilla…
Taxonomy of generative adversarial networks for digital immunity of Industry 4.0 systems
2021
Abstract Industry 4.0 systems are extensively using artificial intelligence (AI) to enable smartness, automation and flexibility within variety of processes. Due to the importance of the systems, they are potential targets for attackers trying to take control over the critical processes. Attackers use various vulnerabilities of such systems including specific vulnerabilities of AI components. It is important to make sure that inappropriate adversarial content will not break the security walls and will not harm the decision logic of critical systems. We believe that the corresponding security toolset must be organized as a trainable self-protection mechanism similar to immunity. We found cer…