Dishita Naik
According to our database1,
Dishita Naik
authored at least 17 papers
between 2023 and 2024.
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Bibliography
2024
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Applications of AI Chatbots Based on Generative AI, Large Language Models and Large Multimodal Models.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Leveraging the Use of ChatGPT: Exploring Its Real-World Applications Including Their Related Ethical and Regulatory Considerations.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Decoder-Only Transformers: The Brains Behind Generative AI, Large Language Models and Large Multimodal Models.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Large Data Begets Large Data: Studying Large Language Models (LLMs) and Its History, Types, Working, Benefits and Limitations.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Imperfectly Perfect AI Chatbots: Limitations of Generative AI, Large Language Models and Large Multimodal Models.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
A Comparative Analysis of Threat Modelling Methods: STRIDE, DREAD, VAST, PASTA, OCTAVE, and LINDDUN.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
An Introduction to Threat Modelling: Modelling Steps, Model Types, Benefits and Challenges.
Proceedings of the Contributions Presented at The International Conference on Computing, 2024
2023
Proceedings of the Advances in Computational Intelligence Systems, 2023
Proceedings of the Advances in Computational Intelligence Systems, 2023
The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning.
Proceedings of the Advances in Computational Intelligence Systems, 2023
Proceedings of the Advances in Computational Intelligence Systems, 2023
Cyberattack Analysis Utilising Attack Tree with Weighted Mean Probability and Risk of Attack.
Proceedings of the Advances in Computational Intelligence Systems, 2023
Proceedings of the Advances in Computational Intelligence Systems, 2023