MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Privacy-Preserving Technologies in Data
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,809 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,809 works in the cohort · of 4,299,418page 1 of 37

Labels cover 7 of 1,809 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,809 of 1,809 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Privacy-preserving data publishing
Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
2010· review· en· ACM Computing Surveys· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · open_science+research_integrity
1,639
citations
afffundunlabeled
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc‐Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin +2 more
2022· review· en· ACM Computing Surveys· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+open_science+research_integrityconsensus · open_science
733
citations
afffundunlabeled
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei +1 more
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
659
citations
affunlabeled
(α, k)-anonymity
Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
2006· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
628
citations
affno abstractunlabeled
End-to-end privacy preserving deep learning on multi-institutional medical imaging
Georgios Kaissis, Alexander Ziller, Jonathan Passerat‐Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask +8 more
2021· article· en· Nature Machine Intelligence· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_science+research_integrityconsensus · open_science
470
citations
affunlabeled
Utility-based anonymization using local recoding
Jian Xu, Wei Wang, Jian Pei, Xiaoyuan Wang, Baile Shi, Ada Wai-Chee Fu
2006· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
420
citations
affunlabeled
k-automorphism
Lei Zou, Lei Chen, M. TAMER ÖZSU
2009· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
407
citations
affunlabeled
Mitigating Sybils in Federated Learning Poisoning
Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh
2018· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · open_science
362
citations
affunlabeled
Aggregate Query Answering on Anonymized Tables
Qing Zhang, Nick Koudas, Divesh Srivastava, Ting Yu
2007· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
361
citations
afffundno abstractunlabeled
Security and privacy challenges in smart cities
Trevor Michael Braun, Benjamin C. M. Fung, Farkhund Iqbal, Babar Shah
2018· article· en· Sustainable Cities and Society· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
345
citations
affunlabeled
Protecting Privacy Using k-Anonymity
Khaled El Emam, Fida K. Dankar
2008· article· en· Journal of the American Medical Informatics Association· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
334
citations
afffundunlabeled
Federated learning and differential privacy for medical image analysis
Mohammed Adnan, Shivam Kalra, Jesse C. Cresswell, Graham W. Taylor, Hamid R. Tizhoosh
2022· article· en· Scientific Reports· Computer Science
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · open_science
316
citations
affunlabeled
Minimality Attack in Privacy Preserving Data Publishing
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Jian Pei
2006· article· en· Computer Science
distilled prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · scholarly_communication+open_science
281
citations
affunlabeled
Anonymizing sequential releases
Ke Wang, Benjamin C. M. Fung
2006· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
257
citations
affaboutunlabeled
Differentially private transit data publication
Rui Chen, Benjamin C. M. Fung, Bipin C. Desai, Nériah M. Sossou
2012· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
250
citations
affunlabeled
Differential privacy in control and network systems
Jorge Cortés, Geir E. Dullerud, Shuo Han, Jérôme Le Ny, Sayan Mitra, George J. Pappas
2016· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
223
citations
affunlabeled
Publishing set-valued data via differential privacy
Rui Chen, Noman Mohammed, Benjamin C. M. Fung, Bipin C. Desai, Li Xiong
2011· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
221
citations
affno abstractunlabeled
Correlated network data publication via differential privacy
Rui Chen, Benjamin C. M. Fung, Philip S. Yu, Bipin C. Desai
2013· article· en· The VLDB Journal· Computer Science
distilled prediction:candidate · scholarly_communication+open_scienceconsensus · open_science
214
citations
affno abstractunlabeled
PySyft: A Library for Easy Federated Learning
Alexander Ziller, Andrew Trask, Antonio Lopardo, Benjamin Szymkow, Bobby Wagner, Emma Bluemke +6 more
2021· book-chapter· en· Studies in computational intelligence· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · open_science
208
citations
affunlabeled
Privacy Preserving Clustering by Data Transformation
Stanley Robson de Medeiros Oliveira, Osmar R. Zai͏̈ane
2010· article· en· Journal of Information and Data Management· Computer Science
distilled prediction:candidate · scholarly_communication+open_scienceconsensus · open_science
189
citations

How this was built: Screen · Findings · About