Raef Bassily

26 papers receiving 676 citations

Hit Papers

Private Empirical Risk Minimization: Efficient Algorithms...2014202620182022201450100150200250

Peers

Raef Bassily
Comparison fields: 5 of 46
  • Artificial Intelligence 441
  • Electrical and Electronic Engineering 290
  • Computer Networks and Communications 224
  • Computer Vision and Pattern Recognition 59
  • Sociology and Political Science 56
Replace El Mahdi El Mhamdi with:
El Mahdi El Mhamdi Switzerland
Julien Stainer Switzerland
Nadia Fawaz United States
Geetha Jagannathan United States
Salman Salamatian United States
Maximilian Lam United States
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Citations per year

Countries citing papers authored by Raef Bassily

Since Specialization
Citations

This map shows the geographic impact of Raef Bassily's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raef Bassily with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raef Bassily more than expected).

Fields of papers citing papers by Raef Bassily

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raef Bassily. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raef Bassily. The network helps show where Raef Bassily may publish in the future.

Co-authorship network of co-authors of Raef Bassily

This figure shows the co-authorship network connecting the top 25 collaborators of Raef Bassily. A scholar is included among the top collaborators of Raef Bassily based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raef Bassily. Raef Bassily is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Differentially-Private Control-Flow Node Coverage for Software Usage Analysis
2
2
Learning from Mixtures of Private and Public Populations
0
3 3
4 3
5
Linear Queries Estimation with Local Differential Privacy
3
6
Private Stochastic Convex Optimization with Optimal Rates
10
7 4
8
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
20
9 4
10 50
11
Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Boundsbreakdown →
278
12
Private Empirical Risk Minimization, Revisited.
13
13 26
14 146
15 7
16 1
17 37
18 4
19 4
20 10

About Raef Bassily

Raef Bassily is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Science Applications, having authored 28 papers that have together received 700 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (15 papers), Wireless Communication Security Techniques (10 papers) and Cooperative Communication and Network Coding (7 papers). The work is most often cited by research in Artificial Intelligence (441 citations), Computer Science Applications (54 citations) and Computer Networks and Communications (224 citations). Raef Bassily has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Adam Smith, Abhradeep Thakurta, Şennur Ulukuş, Matthieu R. Bloch, Xiang He, Aylin Yener, Jianwei Xie, Ender Tekin, Ersen Ekrem and Jonathan Ullman. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Signal Processing Magazine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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