课程: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Security and privacy issues in cloud-based generative AI

Security and privacy issues in cloud-based generative AI

课程: Understanding Generative AI in Cloud Computing: Services and Use Cases

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Security and privacy issues in cloud-based generative AI

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- The use of cloud-based generative AI induces various security and privacy obstacles that demand attention to warrant data integrity, confidentiality, and ethical implementation. In this video, we'll cover a few security and privacy issues associated with cloud-based generative AI. Data privacy. For efficient training of generative AI models, it is necessary to have sizable datasets. Nevertheless, using such vast quantities brings up pertinent questions about how best to protect the privacy concerns surrounding individual identifying details. It goes without saying that robust measures must be put in place for protecting privacy, while implementing a wide array of security features such as encryption protocols and strict access controls alongside anonymization techniques. This helps migrate risks associated with unauthorized intrusion or illegal exportation. Model protection. The value of trained generative AI models…

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