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Quantum error correction for quantum cryptography – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum cryptography is a rapidly developing field that promises secure communication through the use of quantum mechanics principles. However, quantum systems are susceptible to errors due to noise and imperfections in the physical…

Transfer learning for cross-modal sentiment analysis – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, sentiment analysis has gained significant attention in various application domains such as social media, e-commerce, and customer feedback analysis. Sentiment analysis aims to identify and extract subjective information from textual…

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,…

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…

Secure multi-party computation for privacy-preserving federated learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, federated learning has gained significant attention as a privacy-preserving technique for training machine learning models on distributed data sources. However, one of the key challenges in federated learning is ensuring…

Quantum-resistant secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum computing has the potential to revolutionize the field of cryptography by breaking many of the commonly used encryption schemes. As quantum computers become more powerful, it is crucial to develop secure multi-party…

Interpretable machine learning for loan default prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Machine learning algorithms are increasingly being used in a variety of applications, including loan default prediction. However, the black-box nature of many machine learning models makes it challenging to understand the reasons behind…

Differential privacy for privacy-preserving social network analysis – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, the amount of data generated through social networks is enormous, making it an invaluable resource for researchers in various fields such as sociology, computer science, and economics. However, this…

Quantum error correction for quantum metrology – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum technologies have become increasingly important in a wide range of scientific fields, with applications in quantum computing, quantum communication, and quantum metrology. Quantum error correction is crucial for the implementation of reliable…

Zero-shot learning for semantic segmentation – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-shot learning for semantic segmentation is a cutting-edge research topic in the field of computer vision, with the potential to revolutionize the way we approach image segmentation tasks. Traditional semantic segmentation methods require…

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