[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…
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[ad_1] Introduction: Serverless computing is a revolutionary approach to building and deploying applications in the cloud. It allows developers to focus on writing code without having to worry about managing the underlying infrastructure. Event-driven architectures…
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[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.…
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[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…
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[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…
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[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…
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[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…
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[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…
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[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…
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[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…
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