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Secure multi-party computation for privacy-preserving deep neural networks – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: In recent years, deep learning models have shown remarkable success in various applications such as image recognition, speech recognition, and natural language processing. However, the widespread adoption of these models raises concerns…

Decentralized data marketplaces using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized data marketplaces have emerged as a revolutionary solution for the exchange of data in a secure and transparent manner. Utilizing blockchain technology, these marketplaces provide users with a platform to buy, sell,…

Interpretable machine learning for credit card fraud detection – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the increase in online transactions has led to a rise in credit card fraud cases. This has necessitated the development of more sophisticated fraud detection systems to protect consumers and…

Differential privacy for privacy-preserving recommendation systems – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, the collection and analysis of personal data have become ubiquitous. With the rise of recommendation systems that utilize personal data to provide personalized recommendations, there is a growing concern…

Quantum error correction for quantum key distribution – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum key distribution (QKD) has emerged as a promising technology for secure communication, leveraging the principles of quantum mechanics to enable the distribution of encryption keys with unconditional security. However, the practical implementation…

Zero-shot learning for text classification – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning is a cutting-edge technique in machine learning that aims to address the challenge of classifying unseen classes without any prior training data. In the context of text classification, zero-shot learning involves…

Graph neural networks for molecular property prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Graph neural networks (GNNs) have emerged as a powerful tool in the field of machine learning for various applications, including molecular property prediction. The ability of GNNs to learn from the graph structure…

Federated reinforcement learning for intelligent energy management – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been an increasing focus on intelligent energy management systems that can optimize energy usage and reduce waste. One promising approach to achieving this goal is through the use…

Distributed ledger technology for decentralized autonomous organizations – Complete Phd and Masters Thesis

[ad_1] Introduction Distributed ledger technology (DLT) has gained significant attention in recent years, especially in the realm of decentralized autonomous organizations (DAOs). DAOs are organizations that operate without human intervention, using smart contracts and DLT…

Homomorphic encryption for secure genomic data analysis – Complete Phd and Masters Thesis

[ad_1] Introduction Genomic data analysis plays a crucial role in various fields such as healthcare, personalized medicine, and genetic research. However, the sensitive nature of genomic data poses significant privacy and security concerns. To address…

Tag: information technology master’s program