Mark Bun
Impact in
- Artificial Intelligence top 2%
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Stochastic Gradient Optimization Techniques
- Machine Learning and Algorithms
- Adversarial Robustness in Machine Learning
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- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Cryptography and Data Security 19
- Privacy-Preserving Technologies in Data 17
- Machine Learning and Algorithms 13
- Quantum Computing Algorithms and Architecture 6
- Internet Traffic Analysis and Secure E-voting 4
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- Complexity and Algorithms in Graphs 12
- Computability, Logic, AI Algorithms 3
- Co-authors
- Thomas Steinke (8 shared papers)Uri Stemmer (3 shared papers)Justin Thaler (14 shared papers)Jelani Nelson (2 shared papers)Salil Vadhan (5 shared papers)Kobbi Nissim (4 shared papers)Alexandra Wood (3 shared papers)Cynthia Dwork (1 shared paper)
- Journals
- Theory of Computing (3 papers)Journal of the ACM (1 paper)Journal of Machine Learning Research (1 paper)Information and Computation (1 paper)Electronic Journal of Statistics (1 paper)
- Partner nations
- United StatesIsraelMexico
In The Last Decade
Mark Bun
31 papers receiving 700 citations
Mark Bun's Hit Papers
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 662
- Computer Science Applications 97
- Computational Theory and Mathematics 94
- Health Informatics 6
- Sociology and Political Science 190
Countries citing papers authored by Mark Bun
This map shows the geographic impact of Mark Bun'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 Mark Bun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Bun more than expected).
Fields of papers citing papers by Mark Bun
This network shows the impact of papers produced by Mark Bun. 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 Mark Bun. The network helps show where Mark Bun may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Bun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Hit paper breakdown → | 2016 | 309 |
| 2 | 2018 | 102 | |
| 3 | 2018 | 54 | |
| 4 | 2018 | 53 | |
| 5 | Bridging the Gap between Computer Science and Legal Approaches to Privacy | 2018 | 29 |
| 6 | 2019 | 27 | |
| 7 | Differential Privacy: A Primer for a Non-Technical Audience | 2018 | 18 |
| 8 | 2015 | 15 | |
| 9 | 2013 | 14 | |
| 10 | 2018 | 13 | |
| 11 | 2020 | 13 | |
| 12 | Differentially Private Submodular Maximization: Data Summarization in Disguise. | 2017 | 9 |
| 13 | 2014 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2015 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 5 |
About Mark Bun
Mark Bun is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Sociology and Political Science, Management Science and Operations Research and Computer Science Applications, having authored 34 papers that have together received 741 indexed citations. Recurring topics across this work include Cryptography and Data Security (19 papers), Privacy-Preserving Technologies in Data (17 papers), Machine Learning and Algorithms (13 papers), Complexity and Algorithms in Graphs (12 papers), Quantum Computing Algorithms and Architecture (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Privacy, Security, and Data Protection (4 papers) and Computability, Logic, AI Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (662 citations), Computer Science Applications (97 citations), Computational Theory and Mathematics (94 citations), Health Informatics (6 citations) and Sociology and Political Science (190 citations). Mark Bun has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include Thomas Steinke, Uri Stemmer, Justin Thaler, Jelani Nelson, Salil Vadhan, Kobbi Nissim, Alexandra Wood, Cynthia Dwork, Guy N. Rothblum and Micah Altman. Their work appears in journals such as Theory of Computing, Journal of the ACM, Journal of Machine Learning Research, Information and Computation and Electronic Journal of Statistics.
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.