Security and Artificial Intelligence
portes grátis
Security and Artificial Intelligence
A Crossdisciplinary Approach
Batina, Lejla; Picek, Stjepan; Baeck, Thomas; Buhan, Ileana
Springer Nature Switzerland AG
04/2022
361
Mole
Inglês
9783030987947
15 a 20 dias
569
Descrição não disponível.
AI for Cryptography.- Artificial Intelligence for the Design of Symmetric Cryptographic Primitives.- Traditional Machine Learning Methods for Side-Channel Analysis.- Deep Learning on Side-Channel Analysis.- Artificial Neural Networks and Fault Injection Attacks.- Physically Unclonable Functions and AI: Two Decades of Marriage.- AI for Authentication and Privacy.- Privacy-Preserving Machine Learning using Cryptography.- Machine Learning Meets Data Modification: the Potential of Pre-processing for Privacy Enhancement.- AI for Biometric Authentication Systems.- Machine Learning and Deep Learning for Hardware Fingerprinting. - AI for Intrusion Detection.- Intelligent Malware Defenses.- Open-World Network Intrusion Detection.- Security of AI.- Adversarial Machine Learning.- Deep Learning Backdoors. - On Implementation-level Security of Edge-based Machine Learning Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Adversarial Machine Learning;artificial intelligence;authentication;Biometric Authentication Systems;computer crime;cryptography;data security;Deep Learning Backdoors;Fault Injection;Hardware Fingerprinting;machine learning;Malware;Network Intrusion Detection;network protocols;network security;Physically Unclonable Functions;privacy;Privacy Enhancement;Privacy-Preserving Machine Learning;Side-channel Analysis
AI for Cryptography.- Artificial Intelligence for the Design of Symmetric Cryptographic Primitives.- Traditional Machine Learning Methods for Side-Channel Analysis.- Deep Learning on Side-Channel Analysis.- Artificial Neural Networks and Fault Injection Attacks.- Physically Unclonable Functions and AI: Two Decades of Marriage.- AI for Authentication and Privacy.- Privacy-Preserving Machine Learning using Cryptography.- Machine Learning Meets Data Modification: the Potential of Pre-processing for Privacy Enhancement.- AI for Biometric Authentication Systems.- Machine Learning and Deep Learning for Hardware Fingerprinting. - AI for Intrusion Detection.- Intelligent Malware Defenses.- Open-World Network Intrusion Detection.- Security of AI.- Adversarial Machine Learning.- Deep Learning Backdoors. - On Implementation-level Security of Edge-based Machine Learning Models.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Adversarial Machine Learning;artificial intelligence;authentication;Biometric Authentication Systems;computer crime;cryptography;data security;Deep Learning Backdoors;Fault Injection;Hardware Fingerprinting;machine learning;Malware;Network Intrusion Detection;network protocols;network security;Physically Unclonable Functions;privacy;Privacy Enhancement;Privacy-Preserving Machine Learning;Side-channel Analysis
