Yücel Saygin

Artificial Intelligence · 2001–2011

A researcher in the Science corpus: 7 papers; trusts 11 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #11,447 of 35,345 by trust here, #10,207 by citations
• Privacy & Security — 19 citations into it
• Sociology and Political Science — 13 citations into it
• Computer Science Applications — 11 citations into it
• Management Science and Operations Research — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Yücel Saygin trusts overall

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

1. Pascal Paillier
2. Jaideep Vaidya
3. Dakshi Agrawal
4. Charu C. Aggarwal
5. Chris Clifton
6. Kun Liu
7. Shafi Goldwasser
8. Johannes Blömer
9. Silvio Micali
10. Hillol Kargupta

Who trusts Yücel Saygin overall

1. Kun Liu
2. Stanley R. M. Oliveira
3. Jayant R. Haritsa
4. Charu C. Aggarwal
5. Hillol Kargupta
6. Osmar R Zaiane
7. Slawomir Goryczka
8. Elisa Bertino
9. Jessica Ryan
10. Philip S. Yu

Papers from Yücel Saygin's perspective

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

1. Privacy Preserving Data Mining
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. On Private Scalar Product Computation for Privacy-Preserving Data Mining
6. L-diversity: privacy beyond k-anonymity
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Privacy preserving association rule mining in vertically partitioned data
9. Maintaining Data Privacy in Association Rule Mining
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Privacy and Security Issues in Data Mining and Machine Learning - International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers (2011) — 5 citations
• Towards trajectory anonymization: a generalization-based approach (2008) — 372 citations
• Secret Sharing vs . Encryption-based Techniques For Privacy Preserving Data Mining 1 (2008)
• Secret charing vs. encryption-based techniques for privacy preserving data mining (2007) — 38 citations
• State-of-the-art in privacy preserving data mining (2004) — 996 citations
• Association rule hiding (2004) — 583 citations
• Using unknowns to prevent discovery of association rules (2001) — 394 citations