--- title: "PETS (A): papers and universities" description: "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)." url: https://scholar4ai.com/proceedings/pets markdown_url: https://scholar4ai.com/proceedings/pets.md license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) share_text: "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… (as of 2026-11-02)" data_url: https://scholar4ai.com/data/rankings.json updated: 2026-11-02T12:20:52+09:00 window: 2026-10-04 to 2026-11-02 source: OpenAlex (CC0) --- # 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. All conferences: https://scholar4ai.com/proceedings.md ## 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)* | Year | Papers | With affiliations | |---|---:|---:| | 2024 | 159 | 159 | | 2025 | 130 | 129 | | 2026 | 164 | 163 | ## Sources *Where OpenAlex lists the papers* | OpenAlex source | Which papers | |---|---| | [S4210183172](https://openalex.org/S4210183172) | Conference-linked journal | ## Who publishes there *Institutions with the most PETS papers, 2024–2026* | # | Institution | Papers | |---:|---|---:| | 1 | Institut national de recherche en sciences et technologies du numérique | 16 | | 2 | Carnegie Mellon University | 16 | | 3 | Technische Universität Darmstadt | 13 | | 4 | École Polytechnique Fédérale de Lausanne | 13 | | 5 | Northeastern University | 12 | | 6 | Google (United States) | 12 | | 7 | Helmholtz Center for Information Security | 12 | | 8 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 11 | | 9 | University of Michigan | 11 | | 10 | Arizona State University | 11 | *Countries with the most PETS papers, 2024–2026* | # | Country | Papers | |---:|---|---:| | 1 | United States | 236 | | 2 | Germany | 87 | | 3 | United Kingdom | 55 | | 4 | Canada | 28 | | 5 | Switzerland | 28 | | 6 | France | 24 | | 7 | Netherlands | 23 | | 8 | Australia | 19 | | 9 | China | 18 | | 10 | India | 17 | *Keywords with the most PETS papers, 2024–2026* | # | Keyword | Papers | |---:|---|---:| | 1 | differential privacy | 46 | | 2 | privacy-utility trade-off | 28 | | 3 | secure multi-party computation | 27 | | 4 | membership inference attacks | 26 | | 5 | privacy-preserving machine learning | 25 | | 6 | [large language models](https://scholar4ai.com/keywords/large-language-models.md) | 21 | | 7 | privacy leakage | 19 | | 8 | privacy | 18 | | 9 | privacy policies | 16 | | 10 | privacy-enhancing technologies | 16 | ## Most-cited papers *Most-cited PETS papers of 2024–2026 (citations counted by OpenAlex)* | # | Citations | Title | Published | Authors | |---:|---:|---|---|---| | 1 | 66 | [SIGMA: Secure GPT Inference with Function Secret Sharing](https://doi.org/10.56553/popets-2024-0107) | 2024-07-06 | Kanav Gupta, Neha Jawalkar, Ananta Mukherjee et al. | | 2 | 25 | [Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy](https://doi.org/10.56553/popets-2025-0024) | 2024-11-10 | Cong Zuo, Shangqi Lai, Shi-Feng Sun et al. | | 3 | 22 | [SoK: Trusting Self-Sovereign Identity](https://doi.org/10.56553/popets-2024-0079) | 2024-06-25 | Evan Krul, Hye-Young Paik, Sushmita Ruj et al. | | 4 | 21 | [Multiparty Private Set Intersection Cardinality and Its Applications](https://doi.org/10.56553/popets-2024-0041) | 2024-04-01 | Jiahui Gao, Ni Trieu, Avishay Yanai | | 5 | 16 | [BehaVR: User Identification Based on VR Sensor Data](https://doi.org/10.56553/popets-2025-0022) | 2024-11-10 | Ismat Jarin, Yu Duan, Rahmadi Trimananda et al. | | 6 | 15 | [AUTOLYCUS: Exploiting Explainable Artificial Intelligence (XAI) for Model Extraction Attacks against Interpretable Models](https://doi.org/10.56553/popets-2024-0137) | 2024-07-06 | Abdullah Çağlar Öksüz, Anisa Halimi, Erman Ayday | | 7 | 15 | [SoK: Can Trajectory Generation Combine Privacy and Utility?](https://doi.org/10.56553/popets-2024-0068) | 2024-06-25 | Erik Buchholz, Alsharif Abuadbba, Shuo Wang et al. | | 8 | 14 | [PLASMA: Private, Lightweight Aggregated Statistics against Malicious Adversaries](https://doi.org/10.56553/popets-2024-0064) | 2024-06-25 | Dimitris Mouris, Pratik Sarkar, Nektarios Georgios Tsoutsos | | 9 | 14 | [MicroSecAgg: Streamlined Single-Server Secure Aggregation](https://doi.org/10.56553/popets-2024-0077) | 2024-06-25 | Yue Guo, Antigoni Polychroniadou, Elaine Shi et al. | | 10 | 13 | [Janus: Fast Privacy-Preserving Data Provenance For TLS](https://doi.org/10.56553/popets-2025-0028) | 2024-11-10 | Jan Lauinger, Jens Ernstberger, Andreas Finkenzeller et al. | ## 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 ```bibtex @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} } ``` License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).