Varun Chandrasekaran
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Christopher A. Choquette-ChooHengrui JiaNicolas PapernotDavid LieBaiwu ZhangKassem FawazSuman BanerjeeChuhan Gao
- Topics
- Adversarial Robustness in Machine Learning (5 papers)Privacy-Preserving Technologies in Data (5 papers)Internet Traffic Analysis and Secure E-voting (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaUSENIX Security SymposiumarXiv (Cornell University)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Varun Chandrasekaran
18 papers receiving 437 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Artificial Intelligence 331
- Computer Vision and Pattern Recognition 99
- Information Systems 66
- Computer Networks and Communications 56
- Signal Processing 37
Countries citing papers authored by Varun Chandrasekaran
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 20 | |
| 9 | Entangled Watermarks as a Defense against Model Extraction | 29 |
| 10 | PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving Interventions for Smart Speakers | 2 |
| 11 | 39 | |
| 12 | Machine Unlearningbreakdown → | 285 |
| 13 | 4 | |
| 14 | 15 | |
| 15 | Characterizing Privacy Perceptions of Voice Assistants: A Technology Probe Study. | 2 |
| 16 | Model Extraction and Active Learning. | 5 |
| 17 | 17 | |
| 18 | 1 |
About Varun Chandrasekaran
Varun Chandrasekaran is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 18 papers that have together received 447 indexed citations. Recurring topics across this 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). The work is most often cited by research in Artificial Intelligence (331 citations), Health Informatics (12 citations) and Computer Vision and Pattern Recognition (99 citations). Varun Chandrasekaran has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Christopher A. Choquette-Choo, Hengrui Jia, Nicolas Papernot, David Lie, Baiwu Zhang, Kassem Fawaz, Suman Banerjee, Chuhan Gao, Suman Banerjee and Natalie Dullerud. Their work appears in journals such as SHILAP Revista de lepidopterología, USENIX Security Symposium and arXiv (Cornell University).
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.