Muneeb Ul Hassan

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it; #29,021 of 35,345 by trust here, #33,294 by citations
• Privacy & Security — 24 citations into it
• Electrical and Electronic Engineering — 18 citations into it; #11,924 of 16,539 by trust here, #15,621 by citations
• Sociology and Political Science — 17 citations into it
• Control and Systems Engineering — 14 citations into it
• Information Systems — 14 citations into it; #6,789 of 8,771 by trust here, #8,258 by citations
• Signal Processing — 6 citations into it
• Transportation — 6 citations into it

Whom Muneeb Ul Hassan trusts overall

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

1. Cynthia Dwork
2. Fang Liu
3. Frank McSherry
4. Latanya Sweeney
5. Gergely Ács
6. Vibhor Rastogi
7. Ninghui Li
8. Borja Balle
9. Salil P. Vadhan
10. Jack Murtagh

Who trusts Muneeb Ul Hassan overall

1. Ying Zhao
2. Jinjun Chen

Papers from Muneeb Ul Hassan's perspective

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

1. Differential Privacy
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. k-Anonymity: A Model for Protecting Privacy
4. Differential Privacy: A Survey of Results
5. A firm foundation for private data analysis
6. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
7. Pseudorandom Bits for Polynomials
8. ImageNet classification with deep convolutional neural networks
9. Revealing information while preserving privacy
10. The Algorithmic Foundations of Differential Privacy

Their papers

• Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018) — 520 citations