Charade
发表于 2025-3-23 11:08:22
http://reply.papertrans.cn/39/3824/382339/382339_11.png
GRILL
发表于 2025-3-23 16:10:03
http://reply.papertrans.cn/39/3824/382339/382339_12.png
Paradox
发表于 2025-3-23 18:24:07
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
发表于 2025-3-23 22:50:57
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
发表于 2025-3-24 03:35:44
http://reply.papertrans.cn/39/3824/382339/382339_15.png
Palter
发表于 2025-3-24 06:30:44
http://reply.papertrans.cn/39/3824/382339/382339_16.png
Inelasticity
发表于 2025-3-24 13:51:34
http://reply.papertrans.cn/39/3824/382339/382339_17.png
摇曳
发表于 2025-3-24 14:53:04
http://reply.papertrans.cn/39/3824/382339/382339_18.png
大沟
发表于 2025-3-24 22:48:14
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’
高贵领导
发表于 2025-3-24 23:17:48
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