Geetha Jagannathan

Artificial Intelligence · 2005–2013

A researcher in the Science corpus: 3 papers; trusts 22 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #8,826 of 35,345 by trust here, #12,083 by citations
• Privacy & Security — 21 citations into it; #409 of 709 by trust here, #486 by citations
• Computational Theory and Mathematics — 11 citations into it
• Sociology and Political Science — 9 citations into it
• Safety, Robustness & Interpretability — 6 citations into it
• Management Science and Operations Research — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Geetha Jagannathan trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Avrim Blum
4. Jaideep Vaidya
5. Kobbi Nissim
6. J. Ross Quinlan
7. Irit Dinur
8. Bart Goethals
9. Stanley R. M. Oliveira
10. Kamalika Chaudhuri

Who trusts Geetha Jagannathan overall

1. Reza Shokri
2. Daniel Kifer
3. Jinfei Liu
4. Claudio Orlandi
5. Andreas Holzer
6. Jihun Hamm
7. Nguyen Binh Truong
8. Yunhui Long
9. Bo Liu
10. Lingchen Zhao

Papers from Geetha Jagannathan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Revealing information while preserving privacy
3. Calibrating Noise to Sensitivity in Private Data Analysis
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Security-control methods for statistical databases: a comparative study
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Practical privacy: the SuLQ framework
9. Boosting and Differential Privacy
10. Privacy Preserving Data Mining

Their papers

• A Semi-Supervised Learning Approach to Differential Privacy (2013) — 24 citations
• A Practical Differentially Private Random Decision Tree Classifier (2009) — 221 citations
• Privacy-preserving distributed k-means clustering over arbitrarily partitioned data (2005) — 476 citations