Machine Learning Algorithms : Adversarial Robustness in Signal Processing / Fuwei Li, Lifeng Lai, Shuguang Cui

• Autore: Li, Fuwei
• Pubblicazione: Cham, : Springer, 2022
• Descrizione fisica: ix, 104 p. : ill. ; 24 cm
• Soggetto topico: 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020]; 62J05 - Linear regression; mixed models [MSC 2020]; 62J07 - Ridge regression; shrinkage estimators (Lasso) [MSC 2020]; 68-XX - Computer science [MSC 2020]; 68M18 - Wireless sensor networks as related to computer science [MSC 2020]; 68M25 - Computer security [MSC 2020]; 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]; 94A12 - Signal theory (characterization, reconstruction, filtering, etc.) [MSC 2020]
• Soggetto non controllato: Adversarial attack; Adversarial machine learning; Adversarial robustness; Alternating optimization; Bi-level optimization; Interpretable machine learning; Linear regression; Machine learning; Non-convex optimization; Principal component analysis; Security-critical machine learning; Signal processing; Subspace learning
• Altri autori: Cui, Shuguang Lai, Lifeng
• Titolo autorizzato: Machine Learning Algorithms
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0277808
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-16375-3
• Serie: Wireless Networks Cham . -Springer , 2015-