Privacy-Preserving Deep Learning
portes grátis
Privacy-Preserving Deep Learning
A Comprehensive Survey
Tanuwidjaja, Harry Chandra; Kim, Kwangjo
Springer Verlag, Singapore
07/2021
74
Mole
Inglês
9789811637636
15 a 20 dias
152
Descrição não disponível.
Introduction.- Definition and Classification.- Background Knowledge.- X-based Hybrid PPDL.- The Gap Between Theory and Application of X-based PPDL.- Federated Learning and Split Learning-based PPDL.- Analysis and Performance Comparison.- Attacks on DL and PPDL as the Possible Solutions.- Challenges and Future Work.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Privacy-Preserving;Deep Learning;Machine Learning as a Service;Data Privacy;Privacy Issue on Deep Learning;Homomorphic Encryption;Secure Multi Party Computation;Differential Privacy;Secure Enclaves;Federated Learning;Split Learning
Introduction.- Definition and Classification.- Background Knowledge.- X-based Hybrid PPDL.- The Gap Between Theory and Application of X-based PPDL.- Federated Learning and Split Learning-based PPDL.- Analysis and Performance Comparison.- Attacks on DL and PPDL as the Possible Solutions.- Challenges and Future Work.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
