Kunal Talwar
- Artificial Intelligence top 0.1%
- Privacy-Preserving Technologies in Data 28
- Cryptography and Data Security 17
- Stochastic Gradient Optimization Techniques 10
- Machine Learning and Algorithms 9
- Computer Science Applications top 0.2%
- Health Informatics top 0.5%
- Computer Networks and Communications top 0.5%
- Optimization and Search Problems 16
- Information Systems top 0.5%
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- Complexity and Algorithms in Graphs 36
- Advanced Graph Theory Research 19
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- Auction Theory and Applications 9
- Co-authors
- Frank McSherryLi ZhangMartı́n AbadiIan GoodfellowIlya MironovH. Brendan McMahanAndy ChuSatish Rao
- Journals
- Algorithmica (3 papers)Theoretical Computer Science (2 papers)SIAM Journal on Computing (2 papers)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Kunal Talwar
86 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Artificial Intelligence 5.1k
- Computer Science Applications 787
- Health Informatics 152
- Computer Networks and Communications 1.9k
- Information Systems 1.4k
Countries citing papers authored by Kunal Talwar
This map shows the geographic impact of Kunal Talwar'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 Kunal Talwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunal Talwar more than expected).
Fields of papers citing papers by Kunal Talwar
This network shows the impact of papers produced by Kunal Talwar. 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 Kunal Talwar. The network helps show where Kunal Talwar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunal Talwar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry | 2021 | 3 |
| 2 | Lossless Compression of Efficient Private Local Randomizers | 2021 | 2 |
| 3 | Characterizing Structural Regularities of Labeled Data in Overparameterized Models | 2021 | 7 |
| 4 | Exploring the Memorization-Generalization Continuum in Deep Learning | 2020 | 2 |
| 5 | Private Stochastic Convex Optimization with Optimal Rates | 2019 | 10 |
| 6 | Adversarially Robust Generalization Requires More Data | 2018 | 56 |
| 7 | Short and Deep: Sketching and Neural Networks | 2017 | 2 |
| 8 | Nearly-optimal private LASSO | 2015 | 35 |
| 9 | Analyze Gauss: optimal bounds for privacy-preserving PCA | 2014 | 1 |
| 10 | 2014 | 3 | |
| 11 | 2011 | 82 | |
| 12 | The Limits of Two-Party Differential Privacy. | 2011 | 18 |
| 13 | 2010 | 7 | |
| 14 | Hard Instances for Satisfiability and Quasi-one-way Functions | 2010 | 2 |
| 15 | 2009 | 37 | |
| 16 | Hardness of Low Congestion Routing in Directed Graphs | 2006 | 6 |
| 17 | 2006 | 21 | |
| 18 | 2003 | 75 | |
| 19 | 2003 | 31 | |
| 20 | Detecting format string vulnerabilities with type qualifiers | 2001 | 257 |
About Kunal Talwar
Kunal Talwar is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 93 papers that have together received 7.8k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (36 papers), Privacy-Preserving Technologies in Data (28 papers), Advanced Graph Theory Research (19 papers), Cryptography and Data Security (17 papers), Optimization and Search Problems (16 papers), Stochastic Gradient Optimization Techniques (10 papers), Machine Learning and Algorithms (9 papers) and Auction Theory and Applications (9 papers). The work is most often cited by research in Artificial Intelligence (5.1k citations), Computer Science Applications (787 citations) and Health Informatics (152 citations). Kunal Talwar has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Frank McSherry, Li Zhang, Martı́n Abadi, Ian Goodfellow, Ilya Mironov, H. Brendan McMahan, Andy Chu, Satish Rao, Udi Wieder and Jittat Fakcharoenphol. Their work appears in journals such as Algorithmica, Theoretical Computer Science, SIAM Journal on Computing, Random Structures and Algorithms and Journal of Computer and System Sciences.
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.