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책 정보
· 분류 : 외국도서 > 과학/수학/생태 > 수학 > 확률과 통계 > 일반
· ISBN : 9789811975561
· 쪽수 : 225쪽
· 출판일 : 2024-05-31
목차
Part I. Preliminary.- Chapter 1. Introduction.- Chapter 2. Ownership Verification Protocols for Deep Neural Network Watermarks.- Part II Techniques.- Chapter 3. ModelWatermarking for Image Recovery DNNs.- Chapter 4. The Robust and Harmless ModelWatermarking.- Chapter 5. Protecting Intellectual Property of Machine Learning Models via Fingerprinting the Classification Boundary.- Chapter 6. Protecting Image Processing Networks via Model Water.- Chapter 7. Watermarks for Deep Reinforcement Learning.- Chapter 8. Ownership Protection for Image Captioning Models.- Chapter 9.Protecting Recurrent Neural Network by Embedding Key.-?Part III Applications.- Chapter 10. FedIPR: Ownership Verification for Federated Deep Neural Network Models.- Chapter 11. Model Auditing For Data Intellectual Property?