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Computer Security. ESORICS 2024 International Workshops: DPM, CBT, and CyberICPS, Bydgoszcz, Poland, September 1620, 2024, Revised Selected Papers, P [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  3031823486
  • ISBN-10:  3031823486
  • ISBN-13:  9783031823480
  • ISBN-13:  9783031823480
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  496
  • Pages:  496
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  3031823486-11-SPRI
  • SKU:  3031823486-11-SPRI
  • Item ID: 106926562
  • List Price: $99.99
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This two-volume set LNCS 15263 and LNCS 15264 constitutes the refereed proceedings of eleven International Workshops which were held in conjunction with the 29th European Symposium on Research in Computer Security, ESORICS 2024, held in Bydgoszcz, Poland, during September 1620, 2024.
The papers included in these proceedings stem from the following workshops:
19th International Workshop on Data Privacy Management, DPM 2024, which accepted 7 full papers and 6 short papers out of 24 submissions;
8th International Workshop on Cryptocurrencies and Blockchain Technology, CBT 2024, which accepted 9 full papers out of 17 submissions;
10th Workshop on the Security of Industrial Control Systems and of Cyber-Physical Systems, CyberICPS 2024, which accepted 9 full papers out of 17 submissions;
International Workshop on Security and Artificial Intelligence, SECAI 2024, which accepted 10 full papers and 5 short papers out of 42 submissions;
Workshop on Computational Methods for Emerging Problems in Disinformation Analysis, DisA 2024, which accepted 4 full papers out of 8 submissions;
5th International Workshop on Cyber-Physical Security for Critical Infrastructures Protection, CPS4CIP 2024, which accepted 4 full papers out of 9 submissions;
3rd International Workshop on System Security Assurance, SecAssure 2024, which accepted 8 full papers out of 14 submissions.

Establishing Secure and Privacy-Preserving Blockchain Applications Through Real World Cryptography. DPM Papers: Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering.- reteLLMe: Design rules for using Large Language Models to Protect the Privacy of Individuals in their Textual Contributions.- Plausible Deniability of Redacted Text.- Exploring Distribution Learning of Synthetic Data Generators for Manifolds.- HEDAS: Secure and Efficient Distributed OLAP ul“

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