Privacy-Preserving Machine Learning
Af
E-bog
Bemærk venligst, at den normale 14 dages fortrydelsesret ophører ved modtagelse af adgang til e-bogen.

Produkt beskrivelse

This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face enormous security and privacy risks. In turn, it presents studies conducted to address privacy issues and a series of proposed solutions for ensuring privacy protection in machine learning tasks involving multiple parties. In closing, the book reviews state-of-the-art privacy-preserving techniques and examines the security threats they face.

Detaljer

  • ISBN13 9789811691393
  • Udgivet 2022
  • Forlag Springer
  • Sprog Engelsk