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From Curvature to Privacy: EER-Driven Differential Privacy in Deep Neural Networks

  • Hamad bin Khalifa University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationASIA CCS 2026 - Proceedings of the 21st ACM ASIA Conference on Computer and Communications Security
PublisherAssociation for Computing Machinery, Inc
Pages1770-1785
Number of pages16
ISBN (Electronic)9798400723568
DOIs
StatePublished - Jun 4 2026
Event21st ACM Asia Conference on Computer and Communications Security, AsiaCCS 2026 - Bangalore, India
Duration: Jun 1 2026Jun 5 2026

Publication series

NameASIA CCS 2026 - Proceedings of the 21st ACM ASIA Conference on Computer and Communications Security

Conference

Conference21st ACM Asia Conference on Computer and Communications Security, AsiaCCS 2026
Country/TerritoryIndia
CityBangalore
Period6/1/266/5/26

ASJC Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Computer Science Applications

Keywords

  • Differential Privacy
  • Empirical Risk Minimization
  • Expected Excess Risk
  • Machine Learning
  • Neural Networks

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