5 citations · 8 across the 3 of their papers we have counts for
3 papers
Provenance, Anonymisation and Data Environments: a Unifying Construction
Muhammad Aslam Jarwar, Adriane Chapman, Mark Elliot +1
The Anonymisation Decision-making Framework (ADF) operationalizes the risk management of data exchange between organizations, referred to as "data environments". The second edition…
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu, Adriane Chapman, Guihua Wen +1
Supervised machine learning has several drawbacks that make it difficult to use in many situations. Drawbacks include: heavy reliance on massive training data, limited generalizabi…
Surrogate Parenthood: Protected and Informative Graphs
Barbara Blaustein, Adriane Chapman, Len Seligman +2
Many applications, including provenance and some analyses of social networks, require path-based queries over graph-structured data. When these graphs contain sensitive information…