Privacy-Preserving Deep 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.

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• Privacidade e protecção de dados
• Aprendizagem mecânica
• Segurança de redes
• Cloud computing

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