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

Charade

GRILL

Paradox

https://doi.org/10.1007/978-3-031-54252-7Generative AI; Model Security; AI Ethics; Data Security; GenAI Security; DevSecOps; Data Privacy; GenAI App

GNAW

Ken Huang,Yang Wang,Jyoti PonnapalliExplores theories and practices of GenAI security.Offers actionable insights, hands-on resources, and critical thinking exercises.Equips readers with the knowledge and tools needed to navigate the com

APNEA

Palter

Inelasticity

搖曳

大溝

GenAI Data Security“oil” of the digital age, the chapter navigates data’s lifecycle from collection to disposal. The narrative underscores the importance of secure collection, preprocessing, storage, and transmission. The chapter delves into data provenance, stressing the need to understand, verify, and validate data’

高貴領(lǐng)導(dǎo)

GenAI Model Securityw 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