Exact Unlearning – Bücher zum Thema Exact Unlearning finden und kaufen

Jie Xu, Xiaohua Jia
Springer International Publishing
160.49 € · Hardcover

Machine Unlearning Data Influence Analysis Data Privacy Data Valuation Right to Be Forgotten Exact Unlearning GDPR Compliance Approximate Unlearning Trustworthy AI Influence Function Certified Unlearning

This book is a comprehensive guide to machine unlearning, covering both theoretical foundations and practical algorithms. The first part develops data influence measurement methods, including real-time and time-varying valuation frameworks. The second part presents exact and approximate unlearning a...

Machine Unlearning: Concepts and Implementations

Weiqi Wang, Shui Yu
Springer Singapore
181.89 € · Hardcover

Machine Unlearning Exact Unlearning Approximate Unlearning Model Editing Unlearning Verification Unlearning Auditing Backdoor Stress Testing Federated Learning Federated Unlearning Graph Unlearning Large Language Model Diffusion Model Privacy Data Privacy

As "right to be forgotten" style regulations, data governance requirements, and security concerns expand worldwide, researchers and practitioners need methods that go beyond ad hoc retraining and provide effective deletion from models. Machine unlearning has emerged as a core capability for trustwor...

Machine Unlearning: Concepts, Techniques and Applications

Rajan Gupta, Anamika Gupta, Sarabjeet Kaur Kochhar, Saibal K. Pal
Springer International Publishing
149.79 € · Hardcover

Machine Unlearning Data Deletion Privacy Preservation Right to be forgotten Exact Unlearning Approximate Unlearning GDPR Compliance Model Editing SISA Framework Gradient-based Unlearning Influence Functions Neural Network Editing Deep Learning Graph Neural Networks Federated Learning

This book masters the critical skill of selective data removal from AI systems—essential for regulatory compliance and ethical AI development. This comprehensive book bridges the gap between theoretical foundations and practical implementation, offering clear pathways through both exact and approx...

Machine Unlearning: Concepts and Implementations

Weiqi Wang, Shui Yu
Springer Singapore
181.89 € · eBook

Machine Unlearning Exact Unlearning Approximate Unlearning Model Editing Unlearning Verification Unlearning Auditing Backdoor Stress Testing Federated Learning Federated Unlearning Graph Unlearning Large Language Model Diffusion Model Privacy Data Privacy

As "right to be forgotten" style regulations, data governance requirements, and security concerns expand worldwide, researchers and practitioners need methods that go beyond ad hoc retraining and provide effective deletion from models. Machine unlearning has emerged as a core capability for trustwor...

Machine Unlearning: Concepts, Techniques and Applications

Rajan Gupta, Anamika Gupta, Sarabjeet Kaur Kochhar, Saibal K. Pal
Springer International Publishing
149.79 € · eBook

Machine Unlearning Data Deletion Privacy Preservation Right to be forgotten Exact Unlearning Approximate Unlearning GDPR Compliance Model Editing SISA Framework Gradient-based Unlearning Influence Functions Neural Network Editing Deep Learning Graph Neural Networks Federated Learning

This book masters the critical skill of selective data removal from AI systems—essential for regulatory compliance and ethical AI development. This comprehensive book bridges the gap between theoretical foundations and practical implementation, offering clear pathways through both exact and approx...

Machine Unlearning

Jie Xu, Xiaohua Jia
Springer International Publishing
€ · eBook

Machine Unlearning Data Influence Analysis Data Privacy Data Valuation Right to Be Forgotten Exact Unlearning GDPR Compliance Approximate Unlearning Trustworthy AI Influence Function Certified Unlearning

This book is a comprehensive guide to machine unlearning, covering both theoretical foundations and practical algorithms. The first part develops data influence measurement methods, including real-time and time-varying valuation frameworks. The second part presents exact and approximate unlearning a...

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