Machine-readable Policies
Machine-Readable Policies is a formal specification of regulatory, legal, or organizational compliance requirements expressed in structured, computable formats that enable automated interpretation, validation, and enforcement by software systems.
23
Publications
1.1K
Citations
60
Authors
41
Institutions
Publications per year
2017–2026
9
Parents
23
Use of a P3P user agent by early adopters
Lorrie Faith Cranor, Manjula Arjula, Praveen Guduru · 2002 · 125 citations
Programmatically Interpretable Reinforcement Learning
Abhinav Verma, Vijayaraghavan Murali, Rishabh Singh et al. · arXiv (Cornell University) · 2018 · 98 citations · Full text
Confining root programs with domain and type enforcement (DTE)
Kenneth M. Walker, Daniel F. Sterne, Mark L. Badger et al. · USENIX Security Symposium · 1996 · 85 citations
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41
Carnegie Mellon University
Pittsburgh, United States
3 h-index
8 publications
301 citations
Microsoft (United States)
Redmond, United States
3 h-index
3 publications
171 citations
IBM (United States)
Armonk, United States
2 h-index
6 publications
375 citations

The University of Sydney
Sydney, Australia
2 h-index
2 publications
162 citations

University of Victoria
Victoria, Canada
1 h-index
2 publications
26 citations
Online Technologies (United States)
North Little Rock, United States
1 h-index
1 publications
41 citations
Boston University
Boston, United States
1 h-index
1 publications
35 citations

Pennsylvania State University
State College, United States
1 h-index
2 publications
56 citations
1–8 of 41
1 publications · 78 citations
1
h-index
1 publications · 141 citations
1
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Repository · 1 publications · 98 citations
1
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1 publications · 48 citations
1
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1 publications · 112 citations
1
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