Essays about: "Confidential Machine Learning"
Showing result 1 - 5 of 6 essays containing the words Confidential Machine Learning.
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1. Confidential Federated Learning with Homomorphic Encryption
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Federated Learning (FL), one variant of Machine Learning (ML) technology, has emerged as a prevalent method for multiple parties to collaboratively train ML models in a distributed manner with the help of a central server normally supplied by a Cloud Service Provider (CSP). Nevertheless, many existing vulnerabilities pose a threat to the advantages of FL and cause potential risks to data security and privacy, such as data leakage, misuse of the central server, or the threat of eavesdroppers illicitly seeking sensitive information. READ MORE
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2. Research of methods and algorithms of insider detection in a computer network using machine learning technologies
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Security Information and Event Management (SIEM) systems today are sophisticated sets of software packages combined with hardware platforms, which can perform real-time analysis on security events and can respond to them before potential damage due to the actions of intruders. READ MORE
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3. Confidential Computing in Public Clouds : Confidential Data Translations in hardware-based TEEs: Intel SGX with Occlum support
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As enterprises migrate their data to cloud infrastructure, they increasingly need a flexible, scalable, and secure marketplace for collaborative data creation, analysis, and exchange among enterprises. Security is a prominent research challenge in this context, with a specific question on how two mutually distrusting data owners can share their data. READ MORE
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4. Air Reconnaissance Analysis using Convolutional Neural Network-based Object Detection
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : The Swedish armed forces use the Single Source Intelligent Cell (SSIC), developed by Saab, for analysis of aerial reconnaissance video and report generation. The analysis can be time-consuming and demanding for a human operator. In the analysis workflow, identifying vehicles is an important part of the work. READ MORE
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5. Privacy-Preserved Federated Learning : A survey of applicable machine learning algorithms in a federated environment
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : There is a potential in the field of medicine and finance of doing collaborative machine learning. These areas gather data which can be used for developing machine learning models that could predict all from sickness in patients to acts of economical crime like fraud. READ MORE
