28 research outputs found
Remoção de fårmacos e desreguladores endócrinos em estaçÔes de tratamento de esgoto: revisão da literatura
Headspace stir bar sorptive extraction followed by thermal desorption and gas chromatography with mass spectrometry to determine musk fragrances in sludge samples without sample pretreatment
10.1002/jssc.20140004
23 A Review of âCamera Attribution Forensic Analyzer in the Encrypted Domainâ
This paper is a review of a work previously published by the authors at IEEE WIFSâ18 (Workshop on Information Forensics and Security), which received the Best Paper Award, and contains a summary of its main results. In WIFSâ18 we proposed a new framework for the secure outsourcing of the image source attribution problem, in which the Photoresponse Non-Uniformity (PRNU) is used as a fingerprint to decide whether a test image was taken with a specific camera device. This method is fully unattended, that is, the secret key owner does not take part during the process. To this aim, we introduced improvements on the state-of-the-art in secure and unattended solutions for denoising. We also showed how to homomorphically perform filtering, polynomial, denoising and
pixel-wise operations in a single round without the need of an interactive protocol
54 Homomorphic SVM Inference for Fraud Detection
Nowadays, cloud computing has become a very promising solution for almost all companies, as it offers the possibility of saving costs by outsourcing computation on-demand. However, some companies deal with private information, which must be protected before outsourcing. Banks, whose financial information is highly sensitive, are one remarkable example of this problem. Their typical processes must be run on their systems for security and regulation reasons, which impedes to take advantage of the scalability and flexibility benefits introduced by the cloud. A relevant example on which we focus in this work is the case of fraud detection systems, for which we propose the use of modern lattice-based homomorphic encryption for its secure execution. To this end, we implement and validate the performance of a homomorphic SVM (Support Vector Machine) classifier for secure fraud detection, showing the feasibility of securely outsourcing fraud detection inference
New data and 3D reconstruction of four species of Pruvotinidae (Mollusca: Solenogastres) from the NW Iberian peninsula
Dorymenia sarsii (Koren & Danielssen, 1877) presente al SW de la PenĂnsula IbĂ©rica
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Dorymenia sarsii (Koren & Danielssen, 1877) presente al SW de la PenĂnsula IbĂ©rica
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Moluscos solenogastros de la campaña INDEMARES/CHICA (Golfo de CĂĄdiz). Datos sobre su anatomĂa y ecologĂa
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