Varun Chandrasekaran

2.7k total citations · 1 hit paper
18 papers, 447 citations indexed

About

Varun Chandrasekaran is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Varun Chandrasekaran has authored 18 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Sociology and Political Science. Recurrent topics in Varun Chandrasekaran's work include Adversarial Robustness in Machine Learning (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Varun Chandrasekaran is often cited by papers focused on Adversarial Robustness in Machine Learning (5 papers), Privacy-Preserving Technologies in Data (5 papers) and Internet Traffic Analysis and Secure E-voting (3 papers). Varun Chandrasekaran collaborates with scholars based in United States, Canada and Germany. Varun Chandrasekaran's co-authors include Christopher A. Choquette-Choo, Nicolas Papernot, Hengrui Jia, David Lie, Baiwu Zhang, Kassem Fawaz, Chuhan Gao, Suman Banerjee, Suman Banerjee and Natalie Dullerud and has published in prestigious journals such as SHILAP Revista de lepidopterología, USENIX Security Symposium and arXiv (Cornell University).

In The Last Decade

Varun Chandrasekaran

18 papers receiving 437 citations

Hit Papers

Machine Unlearning 2021 2026 2022 2024 2021 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Varun Chandrasekaran United States 7 331 99 66 56 37 18 447
Christopher A. Choquette-Choo United States 6 302 0.9× 84 0.8× 67 1.0× 47 0.8× 33 0.9× 10 406
Mohammad Al-Rubaie United States 4 226 0.7× 46 0.5× 51 0.8× 42 0.8× 35 0.9× 5 307
Mika Juuti Finland 5 482 1.5× 71 0.7× 97 1.5× 24 0.4× 41 1.1× 5 536
Victor Sanh United States 7 561 1.7× 147 1.5× 76 1.2× 22 0.4× 19 0.5× 9 661
Claude Turner United States 10 149 0.5× 36 0.4× 68 1.0× 46 0.8× 52 1.4× 23 264
Damai Dai China 10 359 1.1× 125 1.3× 67 1.0× 27 0.5× 26 0.7× 18 530
Doris Xin United States 6 170 0.5× 55 0.6× 62 0.9× 40 0.7× 14 0.4× 10 297
Mohsen Rashwan Egypt 16 486 1.5× 213 2.2× 59 0.9× 25 0.4× 95 2.6× 78 685
Jo Devriendt Belgium 5 181 0.5× 65 0.7× 54 0.8× 46 0.8× 19 0.5× 10 300
Joachim Jansen Belgium 5 172 0.5× 66 0.7× 66 1.0× 45 0.8× 23 0.6× 8 299

Countries citing papers authored by Varun Chandrasekaran

Since Specialization
Citations

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

Fields of papers citing papers by Varun Chandrasekaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Varun Chandrasekaran

This figure shows the co-authorship network connecting the top 25 collaborators of Varun Chandrasekaran. A scholar is included among the top collaborators of Varun Chandrasekaran 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 Varun Chandrasekaran. Varun Chandrasekaran is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Nushi, Besmira, et al.. (2025). Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models. 26403–26423. 1 indexed citations
2.
Eisenhofer, Thorsten, et al.. (2025). Verifiable and Provably Secure Machine Unlearning. 479–496. 3 indexed citations
3.
Subramanian, Lakshminarayanan, et al.. (2024). Designing Informative Metrics for Few-Shot Example Selection. 10127–10135. 2 indexed citations
4.
Chandrasekaran, Varun, et al.. (2024). Bypassing LLM Watermarks with Color-Aware Substitutions. 8549–8581. 3 indexed citations
5.
Chandrasekaran, Varun, Suman Banerjee, Diego Perino, & Nicolas Kourtellis. (2024). Hierarchical Federated Learning with Privacy. 1516–1525. 3 indexed citations
6.
Jia, Hengrui, et al.. (2023). Proof-of-Learning is Currently More Broken Than You Think. 797–816. 4 indexed citations
7.
Chandrasekaran, Varun, et al.. (2022). Confidant: A Privacy Controller for Social Robots. 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 205–214. 12 indexed citations
8.
Chandrasekaran, Varun, et al.. (2021). Face-Off: Adversarial Face Obfuscation. SHILAP Revista de lepidopterología. 20 indexed citations
9.
Jia, Hengrui, Christopher A. Choquette-Choo, Varun Chandrasekaran, & Nicolas Papernot. (2021). Entangled Watermarks as a Defense against Model Extraction. USENIX Security Symposium. 1937–1954. 29 indexed citations
10.
Chandrasekaran, Varun, Suman Banerjee, Bilge Mutlu, & Kassem Fawaz. (2021). PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving Interventions for Smart Speakers. Symposium On Usable Privacy and Security. 535–552. 2 indexed citations
11.
Jia, Hengrui, et al.. (2021). Proof-of-Learning: Definitions and Practice. 1039–1056. 39 indexed citations
12.
Chandrasekaran, Varun, Christopher A. Choquette-Choo, Hengrui Jia, et al.. (2021). Machine Unlearning. 141–159. 285 indexed citations breakdown →
13.
Chandrasekaran, Varun, et al.. (2020). A General Framework For Detecting Anomalous Inputs to DNN Classifiers. arXiv (Cornell University). 8764–8775. 4 indexed citations
14.
Chandrasekaran, Varun, et al.. (2019). A Framework for Analyzing Spectrum Characteristics in Large Spatio-temporal Scales. 1–16. 15 indexed citations
15.
Chandrasekaran, Varun, et al.. (2018). Model Extraction and Active Learning.. arXiv (Cornell University). 5 indexed citations
16.
Chandrasekaran, Varun, Kassem Fawaz, Bilge Mutlu, & Suman Banerjee. (2018). Characterizing Privacy Perceptions of Voice Assistants: A Technology Probe Study.. arXiv (Cornell University). 2 indexed citations
17.
Gao, Chuhan, Varun Chandrasekaran, Kassem Fawaz, & Suman Banerjee. (2018). Traversing the Quagmire that is Privacy in your Smart Home. 22–28. 17 indexed citations
18.
Chandrasekaran, Varun, et al.. (2016). Alphacodes. 1–10. 1 indexed citations

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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