Aaron Johnson
Artificial Intelligence · with Sherr · 2013–2018
A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 57 citations into it; #9,479 of 35,345 by trust here, #14,718 by citations
- Privacy & Security — 24 citations into it
- Computer Networks and Communications — 16 citations into it
- Genetics — 10 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Statistics and Probability — 9 citations into it
- Molecular Biology — 7 citations into it; #2,698 of 17,773 by trust here, #11,019 by citations
- Sociology and Political Science — 7 citations into it
Whom Aaron Johnson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank McSherry
- Cynthia Dwork
- Latanya Sweeney
- Per Austrin
- Kobbi Nissim
- Lixin Gao
- Ashwin Machanavajjhala
- Ninghui Li
- Stephen E. Fienberg
- Grigorios Loukides
Who trusts Aaron Johnson overall
- Yue Wang
- Sean K. Simmons
- Fei Yu
- Daniel Kifer
- Marco Gaboardi
- Ryan M. Rogers
- Jing Lei
- Jaewoo Lee
- Bonnie Berger
- Zhanglong Ji
Papers from Aaron Johnson's perspective
Ordered by how strongly the researchers Aaron Johnson trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Smooth sensitivity and sampling in private data analysis
- Differentially private recommender systems: building privacy into the net
- L-diversity: privacy beyond k-anonymity
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays
- The Algorithmic Foundations of Differential Privacy
- Towards Sharp Inapproximability For Any 2-CSP
- Revealing information while preserving privacy
- Differential Privacy
Their papers
- Privacy-Preserving Data Exploration in Genome-Wide Association Studies (2013) — 212 citations
- Understanding Tor Usage with Privacy-Preserving Measurement (2018) — 90 citations
- Distributed Measurement with Private Set-Union Cardinality (2017) — 28 citations
- Users get routed: traffic correlation on tor by realistic adversaries (2013) — 327 citations