Artificial Intelligence Security and Privacy : First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part II

Jaideep Vaidya

ISBN 10: 9819997879 / ISBN 13: 9789819997879

Editore: Springer Nature Singapore, Springer Nature Singapore, 2024

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3-5, 2023.The 40 regular papers and 23 workshop papers presented in this two-volume set were carefully reviewed and selected from 115 submissions. Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications.

Codice articolo 9789819997879

Dati bibliografici

• Titolo: Artificial Intelligence Security and Privacy : First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part II
• Editore: Springer Nature Singapore, Springer Nature Singapore
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 9819997879
• ISBN 13: 9789819997879
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 17 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 17 millimetri di profondità
• Peso: 452 grammi

Descrizione articolo

Riassunto

This two-volume set LNCS 14509-14510, constitutes the refereed proceedings of the First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, held in Guangzhou, China, during December 3–5, 2023.

The 40 regular papers and 23 workshop papers presented in this  two-volume set were carefully reviewed and selected from 115 submissions.

Topics of interest include, e.g., attacks and defence on AI systems; adversarial learning; privacy-preserving data mining; differential privacy; trustworthy AI; AI fairness; AI interpretability; cryptography for AI; security applications.