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Zero-knowledge proofs for secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs are a powerful cryptographic tool that allows one party to prove to another party that a statement is true without revealing any additional information beyond the validity of the statement itself.…

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…

Reinforcement learning for personalized education – Complete Phd and Masters Thesis

[ad_1] Introduction Reinforcement learning is a machine learning technique that has gained significant attention in recent years for its ability to enable computer systems to learn and make decisions in complex environments. Personalized education has…

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…

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…

Differential privacy for secure data publishing – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data, the need for sharing and publishing data while protecting individual privacy has become increasingly important. Differential privacy has emerged as a prominent framework for achieving this balance…

Zero-shot learning for video retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning has emerged as a promising approach for video retrieval, as it allows the model to recognize object classes without any training data. This thesis aims to explore the potential of zero-shot…

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…

Federated reinforcement learning for smart manufacturing – Complete Phd and Masters Thesis

[ad_1] Introduction: Federated reinforcement learning is a cutting-edge technique that combines the power of reinforcement learning with the distributed nature of federated learning. This approach has shown immense potential in various domains, including smart manufacturing.…

Quantum key distribution for quantum internet – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the concept of a quantum internet has become a topic of significant interest in the field of quantum information science. A quantum internet could potentially revolutionize communication by providing secure…

Tag: information technology graduate program