Generalized Noise Role Mining

Author:

Crampton Jason1,Eiben Eduard1,Gutin Gregory1,Karapetyan Daniel2,Majumdar Diptapriyo3

Affiliation:

1. Royal Holloway, University of London, Egham, United Kingdom

2. University of Nottingham, Nottingham, United Kingdom

3. Indraprastha Institute of Information Technology Delhi (IIITD), New Delhi, India

Funder

The Leverhulme Foundation

Publisher

ACM

Reference18 articles.

1. Chen Dan , Kristoffer Arnsfelt Hansen , He Jiang , Liwei Wang , and Yuchen Zhou . 2018 . Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. In 43rd International Symposium on Mathematical Foundations of Computer Science, MFCS 2018 (LIPIcs , Vol. 117), Igor Potapov, Paul G. Spirakis, and James Worrell (Eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 41:1--41: 16 . Chen Dan, Kristoffer Arnsfelt Hansen, He Jiang, Liwei Wang, and Yuchen Zhou. 2018. Low Rank Approximation of Binary Matrices: Column Subset Selection and Generalizations. In 43rd International Symposium on Mathematical Foundations of Computer Science, MFCS 2018 (LIPIcs, Vol. 117), Igor Potapov, Paul G. Spirakis, and James Worrell (Eds.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 41:1--41:16.

2. Proposed NIST standard for role-based access control

3. Parameterized low-rank binary matrix approximation

4. On the Complexity of Robust PCA and ℓ1-Norm Low-Rank Matrix Approximation

5. Biclique coverings of regular bigraphs and minimum semiring ranks of regular matrices

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Mining Domain-Based Policies;Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy;2024-06-19

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