Kunal Talwar

28.5k citations
98 papers · 8.0k · 3 hit papers · h-index 30

Impact in

    • Privacy-Preserving Technologies in Data
    • Cryptography and Data Security
    • Adversarial Robustness in Machine Learning
    • Stochastic Gradient Optimization Techniques
    • Mobile Crowdsensing and Crowdsourcing

Papers in

Kunal Talwar

90 papers receiving 7.7k citations

Kunal Talwar's Hit Papers

Deep Learning with Differential Privacy 2016 · 3.1k citations
3.1k0+6+12Years since publication10002.0k3.0k

Peers

Kunal Talwar
Comparison fields: 5 of 130
  • Artificial Intelligence 5.2k
  • Computer Science Applications 794
  • Health Informatics 148
  • Computer Networks and Communications 1.9k
  • Management Science and Operations Research 774
Replace Xiaokui Xiao with:
Xiaokui Xiao Singapore
Hongwei Li China
Benjamin W. Wah United States
Graham Cormode United States
Toniann Pitassi Canada
Frank McSherry United States
Toby Walsh Australia
Aaron Roth United States
Douglas C. Schmidt United States
Alistair Moffat Australia
Kunal Talwar relative to Xiaokui Xiao Singapore Xiaokui Xiao's profile →
Citations per field
00.5×3.9×
Xiaokui Xiao · 1×
Citations per year

Countries citing papers authored by Kunal Talwar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Kunal Talwar Line = papers co-authored together Kunal Talwar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning with Differential Privacy
Hit paper breakdown →
20163088
2
Mechanism Design via Differential Privacy
Hit paper breakdown →
2007883
3
Quincy
Hit paper breakdown →
2009601
4 2004314
5 2003288
6
Detecting format string vulnerabilities with type qualifiers
2001257
7 2007253
8 2004185
9 2010162
10
Heuristics for Vector Bin Packing
2011153
11 2007105
12 2007103
13 200497
14 200493
15 200491
16 201686
17 201483
18 201182
19 200375
20 201069

About Kunal Talwar

Kunal Talwar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 98 papers that have together received 8.0k indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (38 papers), Privacy-Preserving Technologies in Data (30 papers), Advanced Graph Theory Research (19 papers), Cryptography and Data Security (17 papers), Optimization and Search Problems (17 papers), Stochastic Gradient Optimization Techniques (11 papers), Auction Theory and Applications (10 papers) and Machine Learning and Algorithms (9 papers). The work is most often cited by research in Artificial Intelligence (5.2k citations), Computer Science Applications (794 citations), Health Informatics (148 citations), Computer Networks and Communications (1.9k citations) and Management Science and Operations Research (774 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, SIAM Journal on Computing, Theoretical Computer Science, Internet Mathematics and Journal of the ACM.

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.

Explore authors with similar magnitude of impact