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Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable multi-party computation – Complete Phd and Masters Thesis

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful cryptographic tool for verifiable multi-party computation. In this thesis, we explore the application of zk-SNARKs in facilitating secure and efficient multi-party…

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Quantum machine learning for quantum classification – Complete Phd and Masters Thesis

Quantum machine learning for quantum classification – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning (QML) has emerged as a promising field at the intersection of quantum computing and machine learning. With the potential for exponential speedup in certain computational tasks, quantum algorithms have the…

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Differential privacy for privacy-preserving graph analytics – Complete Phd and Masters Thesis

Differential privacy for privacy-preserving graph analytics – Complete Phd and Masters Thesis

[ad_1] Introduction With the proliferation of data in today’s digital age, privacy concerns have become increasingly important. This is particularly true for graph data, which often contains sensitive information about individuals and organizations. In order…

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Graph neural networks for knowledge graph completion – Complete Phd and Masters Thesis

Graph neural networks for knowledge graph completion – Complete Phd and Masters Thesis

[ad_1] Introduction: The field of graph neural networks has emerged as a powerful tool for analyzing and processing complex data with graph structures. In recent years, there has been a growing interest in using graph…

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Quantum key distribution for secure quantum communication – Complete Phd and Masters Thesis

Quantum key distribution for secure quantum communication – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum key distribution (QKD) is a method of secure communication that utilizes the principles of quantum mechanics to generate and distribute cryptographic keys. With the rise of quantum computing and the potential threat…

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Homomorphic encryption for secure image processing – Complete Phd and Masters Thesis

Homomorphic encryption for secure image processing – Complete Phd and Masters Thesis

[ad_1] Introduction Homomorphic encryption is a revolutionary technology that allows computations to be performed directly on encrypted data without the need to decrypt it. This breakthrough in cryptography has significant implications for secure image processing,…

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Serverless computing for microservices architecture – Complete Phd and Masters Thesis

Serverless computing for microservices architecture – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing is a cloud-computing execution model that allows users to build and run applications and services without the burden of managing infrastructure. This model abstracts away the complexity of server management, allowing…

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Zero-knowledge proofs for privacy-preserving smart metering – Complete Phd and Masters Thesis

Zero-knowledge proofs for privacy-preserving smart metering – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have gained significant attention in recent years for their potential to enhance privacy in various applications, including smart metering systems. Smart meters are essential components of modern energy grids, providing real-time…

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Reinforcement learning for self-driving vehicles – Complete Phd and Masters Thesis

Reinforcement learning for self-driving vehicles – Complete Phd and Masters Thesis

[ad_1] Introduction: Self-driving vehicles are an emerging technology that has the potential to transform transportation systems and improve road safety. Reinforcement learning, a subset of machine learning, plays a crucial role in enabling these vehicles…

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Explainable deep learning for time series forecasting – Complete Phd and Masters Thesis

Explainable deep learning for time series forecasting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning has become a popular and powerful approach for solving complex machine learning problems, including time series forecasting. However, one of the main challenges with deep learning models is…

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