Justin Brickell

Artificial Intelligence · 2006–2008

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #8,427 of 35,345 by trust here, #17,412 by citations
• Privacy & Security — 9 citations into it
• Sociology and Political Science — 9 citations into it; #4,871 of 22,756 by trust here, #11,144 by citations
• Management Science and Operations Research — 5 citations into it

Whom Justin Brickell trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Latanya Sweeney
2. Cynthia Dwork
3. Ninghui Li
4. Ashwin Machanavajjhala
5. Johannes Gehrke
6. Daniel Kifer
7. Charu C. Aggarwal
8. Xiaokui Xiao
9. Tiancheng Li
10. Yufei Tao

Who trusts Justin Brickell overall

1. Henry Corrigan-Gibbs
2. Jihun Hamm
3. M. Götz
4. Tiancheng Li
5. Tim Ruffing
6. Ashwin Machanavajjhala
7. Bryan Ford
8. Ninghui Li
9. David Isaac Wolinsky
10. Samuel Yeom

Papers from Justin Brickell's perspective

Ordered by how strongly the researchers Justin Brickell trusts endorse each paper. Same corpus, a different order for every researcher.

1. L-diversity: privacy beyond k-anonymity
2. Injecting utility into anonymized datasets (SIGMOD Conference)
3. Differential Privacy
4. ImageNet classification with deep convolutional neural networks
5. Toward Privacy in Public Databases
6. Calibrating Noise to Sensitivity in Private Data Analysis
7. Revealing information while preserving privacy
8. On k-Anonymity and the Curse of Dimensionality
9. t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
10. M-invariance: towards privacy preserving re-publication of dynamic datasets (ACM SIGMOD Conference)

Their papers

• The cost of privacy: destruction of data-mining utility in anonymized data publishing (2008) — 404 citations
• Efficient anonymity-preserving data collection (2006) — 80 citations