Reza Shokri

13.2k total citations · 4 hit papers
61 papers, 6.9k citations indexed

About

Reza Shokri is a scholar working on Artificial Intelligence, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Reza Shokri has authored 61 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Artificial Intelligence, 14 papers in Sociology and Political Science and 9 papers in Computer Networks and Communications. Recurrent topics in Reza Shokri's work include Privacy-Preserving Technologies in Data (44 papers), Adversarial Robustness in Machine Learning (15 papers) and Privacy, Security, and Data Protection (14 papers). Reza Shokri is often cited by papers focused on Privacy-Preserving Technologies in Data (44 papers), Adversarial Robustness in Machine Learning (15 papers) and Privacy, Security, and Data Protection (14 papers). Reza Shokri collaborates with scholars based in Switzerland, Singapore and United States. Reza Shokri's co-authors include Vitaly Shmatikov, Congzheng Song, Marco Stronati, Milad Nasr, Amir Houmansadr, Jean‐Pierre Hubaux, George Theodorakopoulos, Jean‐Yves Le Boudec, Vincent Bindschaedler and Carmela Troncoso and has published in prestigious journals such as Sensors, IEEE Transactions on Mobile Computing and Proceedings of the VLDB Endowment.

In The Last Decade

Reza Shokri

58 papers receiving 6.7k citations

Hit Papers

Membership Inference Attacks Against Machine Learnin... 2011 2026 2016 2021 2017 2015 2019 2011 500 1000 1.5k 2.0k

Peers

Reza Shokri
Comparison fields: 5 of 109
  • Artificial Intelligence 6.1k
  • Sociology and Political Science 1.2k
  • Computer Science Applications 865
  • Electrical and Electronic Engineering 837
  • Computer Networks and Communications 698
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Citations per field, relative to Reza Shokri
Reza Shokri · 1×
Citations per year, relative to Reza Shokri
Reza Shokri · 1×

Countries citing papers authored by Reza Shokri

Since Specialization
Citations

This map shows the geographic impact of Reza Shokri'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 Reza Shokri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reza Shokri more than expected).

Fields of papers citing papers by Reza Shokri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reza Shokri. 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 Reza Shokri. The network helps show where Reza Shokri may publish in the future.

Co-authorship network of co-authors of Reza Shokri

This figure shows the co-authorship network connecting the top 25 collaborators of Reza Shokri. A scholar is included among the top collaborators of Reza Shokri 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 Reza Shokri. Reza Shokri 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
# Work Indexed citations
1 1
2 34
3
Epione: Lightweight Contact Tracing with Strong Privacy
3
4 1
5 44
6
Privacy Risks of Explaining Machine Learning Models.
7
7
Ultimate Power of Inference Attacks: Privacy Risks of Learning High-Dimensional Graphical Models
2
8
Comprehensive Privacy Analysis of Deep Learning: Stand-alone and Federated Learning under Passive and Active White-box Inference Attacks.
51
9 100
10 152
11
Privacy-Preserving Deep Learning breakdown →
1207
12
Optimal User-Centric Data Obfuscation
6
13
Privacy Games: Optimal Protection Mechanism Design for Bayesian and Differential Privacy.
3
14 47
15 37
16 2
17
Quantifying Location Privacy: The Case of Sporadic Location Exposure
1
18
MobiCrowd: A Collaborative Location-Privacy Preserving Mobile Proxy
3
19 1
20 3

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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