kth.sePublikationer KTH
Ändra sökning
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
WPES'23: 22nd Workshop on Privacy in the Electronic Society
Clemson University Clemson, South Carolina, USA.
KTH, Skolan för elektroteknik och datavetenskap (EECS), Datavetenskap, Programvaruteknik och datorsystem, SCS.ORCID-id: 0000-0002-3267-5374
2023 (Engelska)Ingår i: CCS 2023 - Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, Association for Computing Machinery (ACM) , 2023, s. 3645-3647Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

These proceedings contain the papers selected for inclusion in the technical program for the 22st ACM Workshop on Privacy in the Electronic Society (ACM WPES 2023), held in conjunction with the 30th ACM Conference on Computer and Communication Security (ACM CCS 2023) at the Tivoli Congress Center in Copenhagen, Denmark, on November 26, 2023. In response to the workshop's call for papers, 31 valid submissions were received, including 21 full paper submissions and 10 short paper submissions. They were evaluated by a technical program committee consisting of 54 researchers whose backgrounds include a diverse set of topics related to privacy. Each paper was reviewed by at least 3 members of the program committee. Papers were evaluated based on their importance, novelty, and technical quality. After the rigorous review process, 9 submissions were accepted as full papers (acceptance rate: 29.0%) and an additional 8 submissions were accepted as short papers.

Ort, förlag, år, upplaga, sidor
Association for Computing Machinery (ACM) , 2023. s. 3645-3647
Nyckelord [en]
Anonymization, Privacy, Privacy Metrics, Privacy Models, Privacy Policies, Privacy Threats
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:kth:diva-341690DOI: 10.1145/3576915.3624019ISI: 001124987203076Scopus ID: 2-s2.0-85179840339OAI: oai:DiVA.org:kth-341690DiVA, id: diva2:1823043
Konferens
30th ACM SIGSAC Conference on Computer and Communications Security, CCS 2023, Copenhagen, Denmark, Nov 26 2023 - Nov 30 2023
Anmärkning

Part of ISBN 9798400700507

QC 20231229

Tillgänglig från: 2023-12-29 Skapad: 2023-12-29 Senast uppdaterad: 2024-03-04Bibliografiskt granskad

Open Access i DiVA

Fulltext saknas i DiVA

Övriga länkar

Förlagets fulltextScopus

Person

Papadimitratos, Panos

Sök vidare i DiVA

Av författaren/redaktören
Papadimitratos, Panos
Av organisationen
Programvaruteknik och datorsystem, SCS
Datavetenskap (datalogi)

Sök vidare utanför DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetricpoäng

doi
urn-nbn
Totalt: 158 träffar
RefereraExporteraLänk till posten
Permanent länk

Direktlänk
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annat format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annat språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf