清醒
发表于 2025-3-25 05:44:28
GenAI Application Level Securitynalysis of the OWASP Top 10 for LLM applications gives the initial context of security concerns of GenAI Applications. Leading application design paradigms including RAG, ReAct, and agent-based systems are explored, along with their security implications. Major cloud-based AI services and associated
万神殿
发表于 2025-3-25 07:41:25
From LLMOps to DevSecOps for GenAIoperationalizing GenAI models and applications. A detailed examination of implementing LLMOps across the model lifecycle is provided, encompassing activities like base model selection, prompt engineering, model tuning, deployment, and monitoring. Recognizing security as a critical priority, strategi
拥挤前
发表于 2025-3-25 14:34:08
Utilizing Prompt Engineering to Operationalize Cybersecuritynstructing specialized prompts that tap the power of GenAI for threat analysis, incident response, and security enhancement. Specific methods including few shot learning, Retrieval Augmented Generation, Chain of Thought, Tree of Thought, ReAct, and automated reasoning are elucidated to improve model
gangrene
发表于 2025-3-25 19:54:24
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crumble
发表于 2025-3-25 21:17:58
Book 2024 advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these t
backdrop
发表于 2025-3-26 01:13:24
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llibretto
发表于 2025-3-26 06:32:25
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packet
发表于 2025-3-26 12:18:04
2662-2467 tly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these t978-3-031-54254-1978-3-031-54252-7Series ISSN 2662-2467 Series E-ISSN 2662-2475
anaphylaxis
发表于 2025-3-26 13:48:42
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tendinitis
发表于 2025-3-26 19:34:56
Basic principles and considerations,he chapter aims to establish a conceptual foundation encompassing both the technical and ethical dimensions of security for generative AI. It highlights open challenges and lays the groundwork for developing robust, trustworthy, and human-centric solutions. The multifaceted perspective spanning vuln