Titlebook: Generative AI Security; Theories and Practic Ken Huang,Yang Wang,Jyoti Ponnapalli Book 2024 The Editor(s) (if applicable) and The Author(s)

帐簿

书目名称Generative AI Security影响因子(影响力)




书目名称Generative AI Security影响因子(影响力)学科排名




书目名称Generative AI Security网络公开度




书目名称Generative AI Security网络公开度学科排名




书目名称Generative AI Security被引频次




书目名称Generative AI Security被引频次学科排名




书目名称Generative AI Security年度引用




书目名称Generative AI Security年度引用学科排名




书目名称Generative AI Security读者反馈




书目名称Generative AI Security读者反馈学科排名

多山

Generative AI Security978-3-031-54252-7Series ISSN 2662-2467 Series E-ISSN 2662-2475

HACK

智力高

无脊椎

幼儿

https://doi.org/10.1007/978-1-4039-9019-8key policy elements like goals, risk management, compliance, consequences, and priority areas focused on model integrity, data privacy, resilience to attacks, and regulatory adherence. The chapter also covers specialized processes for GenAI across risk management, development cycles, and access gove

幼儿

背信

Basic principles and considerations,w of the security landscape for generative models. It begins by elucidating common vulnerabilities and attack vectors, including adversarial attacks, model inversion, backdoors, data extraction, and algorithmic bias. The practical implications of these threats are discussed, spanning domains like fi

预知

Helping the person to feel better,nalysis 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

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