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Homomorphic encryption for secure data processing in the cloud – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing reliance on cloud computing for data storage and processing, concerns about the security and privacy of data have become more prevalent. Homomorphic encryption offers a solution to these concerns by…

Generative adversarial networks for style transfer – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have revolutionized the field of artificial intelligence by enabling the generation of highly realistic images, text, and other forms of data. One of the most exciting applications of GANs…

Secure multi-party computation for secure database queries – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a field of research aimed at enabling multiple parties to jointly compute a function on their private inputs while keeping those inputs confidential. With the increasing amount of…

Explainable deep learning for medical diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning technology has revolutionized the field of medical diagnosis by achieving high accuracy in detecting diseases from medical images and clinical data. However, one major drawback of deep learning…

Quantum-resistant post-quantum cryptography – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of cryptography has faced a significant challenge with the emergence of quantum computing. Quantum computers have the potential to break many of the traditional encryption algorithms that are…

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for privacy-preserving smart contracts – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving smart contracts have gained significant attention in recent years due to the growing concern over data privacy and security in decentralized applications. Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as…

Quantum-inspired optimization for resource scheduling – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of quantum computing has gained increasing attention for its potential to revolutionize traditional optimization techniques. Quantum-inspired optimization algorithms, which draw inspiration from the principles of quantum mechanics, have…

Multi-modal learning for visual question answering – Complete Phd and Masters Thesis

[ad_1] Introduction Visual question answering (VQA) is a challenging task that involves understanding natural language questions about images and generating accurate answers. Multi-modal learning, which combines information from both visual and textual modalities, has shown…

Interpretable machine learning for explainable recommendations – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, machine learning has become increasingly popular in various domains such as e-commerce, healthcare, and finance. One application of machine learning that has gained significant interest is recommendation systems, which aim…

Graph neural networks for protein-protein interaction prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Protein-protein interactions play a crucial role in various cellular processes and diseases. Understanding the intricate interactions between proteins is essential for drug discovery, disease diagnosis, and treatment. Graph neural networks (GNNs) have emerged…

Tag: ms information technology management