Elisa Bertino

Artificial Intelligence · 2001–2017

A researcher in the Science corpus: 19 papers; trusts 49 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 123 citations into it; #8,589 of 35,345 by trust here, #6,517 by citations
• Privacy & Security — 46 citations into it
• Sociology and Political Science — 28 citations into it
• Management Science and Operations Research — 20 citations into it; #3,523 of 11,946 by trust here, #3,572 by citations
• Computational Theory and Mathematics — 19 citations into it; #10,717 of 12,182 by trust here, #9,306 by citations
• Computer Networks and Communications — 19 citations into it; #3,477 of 9,886 by trust here, #2,852 by citations
• Information Systems — 19 citations into it; #6,983 of 8,771 by trust here, #5,303 by citations
• Computer Science Applications — 13 citations into it

Whom Elisa Bertino trusts overall

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

1. Latanya Sweeney
2. Murat Kantarcioglu
3. Dakshi Agrawal
4. Chris Clifton
5. Vijay S. Iyengar
6. Cynthia Dwork
7. Rakesh Agrawal
8. Vassilios S. Verykios
9. Jaideep Vaidya
10. Shariq Rizvi

Who trusts Elisa Bertino overall

1. Ashraf El-Sisi
2. Paulo Angelo Alves Resende
3. Jaideep Vaidya
4. Peter Christen
5. Charu C. Aggarwal
6. Xiaodan Wu
7. Javed Asharf
8. Cor N. Verdouw
9. André Costa Drummond
10. Yu Zhu

Papers from Elisa Bertino's perspective

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

1. On the design and quantification of privacy preserving data mining algorithms
2. ImageNet classification with deep convolutional neural networks
3. Privacy Preserving Data Mining
4. Calibrating Noise to Sensitivity in Private Data Analysis
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. k-Anonymity: A Model for Protecting Privacy
7. Maintaining Data Privacy in Association Rule Mining
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. L-diversity: privacy beyond k-anonymity
10. Gradient-based learning applied to document recognition

Their papers

• Privacy preserving schema and data matching (2007) — 217 citations
• Preserving User Location Privacy in Mobile Data Management Infrastructures (2006) — 360 citations
• A Framework for Evaluating Privacy Preserving Data Mining Algorithms* (2005) — 224 citations
• Single-Database Private Information Retrieval from Fully Homomorphic Encryption (2013) — 102 citations
• Quality Control in Crowdsourcing Systems: Issues and Directions (2013) — 396 citations
• Efficient k -Anonymization Using Clustering Techniques (2007) — 350 citations
• A Survey of Quantification of Privacy Preserving Data Mining Algorithms (2008) — 171 citations
• Secure and selective dissemination of XML documents (2002) — 362 citations
• Botnets and Internet of Things Security (2017) — 604 citations
• Internet of Things (IoT) (2016) — 878 citations
• Differentially Private K-Means Clustering (2015) — 169 citations
• Proceedings of the 20th international conference on World wide web (2011) — 36 citations
• Privacy-aware role based access control (2007) — 330 citations
• Database security - concepts, approaches, and challenges (2005) — 527 citations
• GEO-RBAC: a spatially aware RBAC (2005) — 493 citations
• State-of-the-art in privacy preserving data mining (2004) — 996 citations
• Association rule hiding (2004) — 583 citations
• TRBAC (2001) — 870 citations
• Hiding Association Rules by Using Confidence and Support (2001) — 340 citations