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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.

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Adversarial Robustness in Machine Learning
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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.

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

797 results · 1 filter active ·
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20012025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
797 works in the cohort · of 4,299,418page 1 of 16

Labels cover 2 of 797 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 797 of 797 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Shortcut learning in deep neural networks
Robert Geirhos, Jörn-Henrik Jacobsen, Claudio Michaelis, Richard S. Zemel, Wieland Brendel, Matthias Bethge +1 more
2020· article· en· Nature Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
1,811
citations
afffundunlabeled
A closer look at memorization in deep networks
Devansh Arpit, Stanisław Jastrzȩbski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S Kanwal +5 more
2017· article· en· Jagiellonian University Repository (Jagiellonian University)· Computer Science
machine prediction:candidate · noneconsensus · none
654
citations
fundno affunlabeled
Fault injection attack on deep neural network
Yannan Liu, Lingxiao Wei, Bo Luo, Qiang Xu
2017· article· en· 2017 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)· Computer Science
machine prediction:candidate · noneconsensus · none
181
citations
affunlabeled
Amnesiac Machine Learning
Laura M. Graves, Vineel Nagisetty, Vijay Ganesh
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
173
citations
affunlabeled
Adversarial Attacks Beyond the Image Space
Xiaohui Zeng, Chenxi Liu, Yu-Siang Wang, Weichao Qiu, Lingxi Xie, Yu‐Wing Tai +2 more
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
140
citations
affunlabeled
DAWN
Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
117
citations
affunlabeled
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
101
citations
affunlabeled
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo, Florian Tramèr, Nicholas Carlini, Nicolas Papernot
2020· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
98
citations
affno abstractunlabeled
Adversarial Autoencoders
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
2022· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
88
citations
affunlabeled
Adversarial Manipulation of Deep Representations
Sara Sabour, Yanshuai Cao, Fartash Faghri, David J. Fleet
2015· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
67
citations
affunlabeled
Arachne: Search-Based Repair of Deep Neural Networks
Jeongju Sohn, Sungmin Kang, Shin Yoo
2022· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
65
citations
affno abstractunlabeled
Explainable Artificial Intelligence for Cybersecurity
Deepak Kumar Sharma, Janmejaya Mishra, Aeshit Singh, Raghav Govil, Gautam Srivastava, Jerry Chun‐Wei Lin
2022· article· en· Computers & Electrical Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
58
citations
affunlabeled
Black-Box Access is Insufficient for Rigorous AI Audits
Carson Ezell, Charlotte Siegmann, Noam Kolt, Taylor Lynn Curtis, Ben Bucknall, Kevin Wei +13 more
2024· preprint· en· Computer Science
machine prediction:candidate · metaresearchconsensus · none
57
citations

How this was built: Screen · Findings · About