Scholar4AI Updated 2026-11-02 12:20 UTC+09:00

PETS: Privacy Enhancing Technologies Symposium (was International Workshop of Privacy Enhancing Technologies) — papers and institutions, 2024–2026

Papers of PETS, Privacy Enhancing Technologies Symposium (was International Workshop of Privacy Enhancing Technologies) (CORE rank A; field: Cybersecurity and privacy), 2024–2026: per year, the institutions, countries and topics, and the most-cited papers. Ranks are those of the CORE Conference Rankings, edition ICORE2026 (portal.core.edu.au), applied to every year shown. Papers are the works OpenAlex lists for the conference's proceedings, or for the issues of a conference-linked journal that publishes its papers (such as PACMPL, PVLDB or ACM TOG), by publication year; workshops, companion volumes, posters and Findings are left out. A paper counts once for each institution and country among its authors' affiliations as OpenAlex assigns them; papers without affiliations in OpenAlex count for none. For conferences published in book series that OpenAlex files as one source (LNCS, LIPIcs, SIAM and IOS Press proceedings), the papers are found by DOI: those of the volumes with the conference's title in Crossref, or LIPIcs DOIs, which name the conference. Conferences without DOIs (PMLR, USENIX, OpenReview) are listed without counts. A dash (–) for a year means OpenAlex has no papers of the conference for it yet: the proceedings are not published or indexed yet, or the conference did not meet that year (some meet every other year). 2026 counts what OpenAlex had indexed by 2026-11-02. Also as Markdown.

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Key findings#

  • PETS (Privacy Enhancing Technologies Symposium (was International Workshop of Privacy Enhancing Technologies)) is rated A by the CORE Conference Rankings (ICORE2026); OpenAlex lists 453 of its papers from 2024–2026 (159 in 2024, 130 in 2025, 164 in 2026).
  • By the countries of the authors' institutions, the most papers come from the United States (236), Germany (87) and the United Kingdom (55).
  • The institutions with the most papers are Institut national de recherche en sciences et technologies du numérique (16), Carnegie Mellon University (16) and Technische Universität Darmstadt (13).
  • Its most-cited paper of these years is “SIGMA: Secure GPT Inference with Function Secret Sharing” (2024), with 66 citations.

Papers per year#

PETS papers per publication year in OpenAlex (–: not in OpenAlex yet)
YearPapersWith affiliations
2024159159
2025130129
2026164163

Sources#

Where OpenAlex lists the papers
OpenAlex sourceWhich papers
S4210183172Conference-linked journal

Who publishes there#

Institutions with the most PETS papers, 2024–2026
#InstitutionPapers
1Institut national de recherche en sciences et technologies du numérique16
2Carnegie Mellon University16
3Technische Universität Darmstadt13
4École Polytechnique Fédérale de Lausanne13
5Northeastern University12
6Google (United States)12
7Helmholtz Center for Information Security12
8Centre National de la Recherche Scientifique11
9University of Michigan11
10Arizona State University11
Countries with the most PETS papers, 2024–2026
#CountryPapers
1United States236
2Germany87
3United Kingdom55
4Canada28
5Switzerland28
6France24
7Netherlands23
8Australia19
9China18
10India17
Keywords with the most PETS papers, 2024–2026
#KeywordPapers
1differential privacy46
2privacy-utility trade-off28
3secure multi-party computation27
4membership inference attacks26
5privacy-preserving machine learning25
6large language models21
7privacy leakage19
8privacy18
9privacy policies16
10privacy-enhancing technologies16

Most-cited papers#

Most-cited PETS papers of 2024–2026 (citations counted by OpenAlex)
#CitationsTitlePublishedAuthors
166SIGMA: Secure GPT Inference with Function Secret Sharing2024-07-06Kanav Gupta, Neha Jawalkar, Ananta Mukherjee et al.
225Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy2024-11-10Cong Zuo, Shangqi Lai, Shi-Feng Sun et al.
322SoK: Trusting Self-Sovereign Identity2024-06-25Evan Krul, Hye-Young Paik, Sushmita Ruj et al.
421Multiparty Private Set Intersection Cardinality and Its Applications2024-04-01Jiahui Gao, Ni Trieu, Avishay Yanai
516BehaVR: User Identification Based on VR Sensor Data2024-11-10Ismat Jarin, Yu Duan, Rahmadi Trimananda et al.
615AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models2024-07-06Abdullah Çağlar Öksüz, Anisa Halimi, Erman Ayday
715SoK: Can Trajectory Generation Combine Privacy and Utility?2024-06-25Erik Buchholz, Alsharif Abuadbba, Shuo Wang et al.
814PLASMA: Private, Lightweight Aggregated Statistics against Malicious Adversaries2024-06-25Dimitris Mouris, Pratik Sarkar, Nektarios Georgios Tsoutsos
914MicroSecAgg: Streamlined Single-Server Secure Aggregation2024-06-25Yue Guo, Antigoni Polychroniadou, Elaine Shi et al.
1013Janus: Fast Privacy-Preserving Data Provenance For TLS2024-11-10Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller et al.

Conferences in the same field#

CCS · SP · NDSS · CRYPTO · Eurocrypt · AsiaCCS · CHES · ESORICS · ASIACRYPT · EuroS&P · ACSAC · CSF · RAID · FC

Cite this page

Scholar4AI. (2026). PETS: Privacy Enhancing Technologies Symposium (was International Workshop of Privacy Enhancing Technologies) — papers and institutions, 2024–2026. Journal and Conference Research Rankings. Retrieved November 2, 2026, from https://scholar4ai.com/proceedings/pets

@misc{scholar4ai-proceedings-pets,
  author = {{Scholar4AI}},
  title = {PETS: Privacy Enhancing Technologies Symposium (was International Workshop of Privacy Enhancing Technologies) — papers and institutions, 2024–2026},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/proceedings/pets}},
  urldate = {2026-11-02},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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