Wahbeh H. Qardaji
Artificial Intelligence · 2011–2013
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 67 citations into it; #10,532 of 35,345 by trust here, #11,072 by citations
- Privacy & Security — 34 citations into it
- Sociology and Political Science — 24 citations into it; #5,611 of 22,756 by trust here, #7,052 by citations
- Computational Theory and Mathematics — 16 citations into it
- Management Science and Operations Research — 11 citations into it
- Safety, Robustness & Interpretability — 11 citations into it
- Statistics and Probability — 8 citations into it
- Algorithms & Complexity — 5 citations into it
Whom Wahbeh H. Qardaji trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Kobbi Nissim
- Frank McSherry
- Latanya Sweeney
- Avrim Blum
- Irit Dinur
- Adam D. Smith
- Per Austrin
- Pierangela Samarati
- Ashwin Machanavajjhala
Who trusts Wahbeh H. Qardaji overall
- Luca Bonomi
- S. Ji
- Samuel Yeom
- Tianhao Wang
- Yuqing Zhu
- Isabel Wagner
- Somesh Jha
- Jaewoo Lee
- Matt Fredrikson
- Ninghui Li
Papers from Wahbeh H. Qardaji's perspective
Ordered by how strongly the researchers Wahbeh H. Qardaji trusts endorse each paper. Same corpus, a different order for every researcher.
- Revealing information while preserving privacy
- Differentially private recommender systems: building privacy into the net
- L-diversity: privacy beyond k-anonymity
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- k-Anonymity: A Model for Protecting Privacy
- Towards Sharp Inapproximability For Any 2-CSP
- Calibrating Noise to Sensitivity in Private Data Analysis
- ImageNet classification with deep convolutional neural networks
- Privacy-Preserving Datamining on Vertically Partitioned Databases
- Practical privacy: the SuLQ framework
Their papers
- Membership privacy: a unifying framework for privacy definitions (2013) — 180 citations
- On sampling, anonymization, and differential privacy or, k-anonymization meets differential privacy (2011) — 306 citations
- PrivBasis: Frequent Itemset Mining with Differential Privacy (2012) — 196 citations