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
- Internet Traffic Analysis and Secure E-voting
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- Mobile Crowdsensing and Crowdsourcing
Papers in
-
- Cryptography and Data Security 21
- Privacy-Preserving Technologies in Data 19
- Machine Learning and Algorithms 13
- Internet Traffic Analysis and Secure E-voting 4
- Quantum Computing Algorithms and Architecture 4
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- Complexity and Algorithms in Graphs 13
- Co-authors
- Thomas Steinke (8 shared papers)Salil Vadhan (6 shared papers)Uri Stemmer (3 shared papers)Justin Thaler (12 shared papers)Jelani Nelson (2 shared papers)Jonathan Ullman (4 shared papers)Cynthia Dwork (1 shared paper)Guy N. Rothblum (1 shared paper)
- Journals
- Theory of Computing (3 papers)Information and Computation (1 paper)SIAM Journal on Computing (1 paper)ACM Transactions on Computation Theory (1 paper)ACM Transactions on Algorithms (1 paper)
- Partner nations
- United StatesIsraelMexico
In The Last Decade
Mark Bun
32 papers receiving 818 citations
Mark Bun's Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 773
- Computer Science Applications 111
- Computational Theory and Mathematics 136
- Statistics and Probability 40
- Management Science and Operations Research 56
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 35 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 | 355 |
| 2 | 2018 | 69 | |
| 3 | 2018 | 59 | |
| 4 | 2014 | 58 | |
| 5 | 2015 | 45 | |
| 6 | Bridging the Gap between Computer Science and Legal Approaches to Privacy | 2018 | 34 |
| 7 | 2019 | 31 | |
| 8 | Differential Privacy: A Primer for a Non-Technical Audience | 2018 | 23 |
| 9 | 2015 | 17 | |
| 10 | 2018 | 15 | |
| 11 | 2013 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2019 | 11 | |
| 14 | 2017 | 10 | |
| 15 | Differentially Private Submodular Maximization: Data Summarization in Disguise. | 2017 | 10 |
| 16 | 2015 | 10 | |
| 17 | 2014 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2017 | 7 | |
| 20 | 2020 | 6 |
About Mark Bun
Mark Bun is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Science Applications, Management Science and Operations Research and Sociology and Political Science, having authored 35 papers that have together received 851 indexed citations. Recurring topics across this work include Cryptography and Data Security (21 papers), Privacy-Preserving Technologies in Data (19 papers), Machine Learning and Algorithms (13 papers), Complexity and Algorithms in Graphs (13 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Quantum Computing Algorithms and Architecture (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers) and Privacy, Security, and Data Protection (4 papers). The work is most often cited by research in Artificial Intelligence (773 citations), Computer Science Applications (111 citations), Computational Theory and Mathematics (136 citations), Statistics and Probability (40 citations) and Management Science and Operations Research (56 citations). Mark Bun has collaborated with scholars based in United States, Israel and Mexico. Frequent co-authors include Thomas Steinke, Salil Vadhan, Uri Stemmer, Justin Thaler, Jelani Nelson, Jonathan Ullman, Cynthia Dwork, Guy N. Rothblum, Kobbi Nissim and Mark Zhandry. Their work appears in journals such as Theory of Computing, Information and Computation, SIAM Journal on Computing, ACM Transactions on Computation Theory and ACM Transactions on Algorithms.
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.