Prateek Mittal

12.3k total citations
120 papers, 3.4k citations indexed

About

Prateek Mittal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Prateek Mittal has authored 120 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Artificial Intelligence, 52 papers in Computer Networks and Communications and 26 papers in Information Systems. Recurrent topics in Prateek Mittal's work include Internet Traffic Analysis and Secure E-voting (45 papers), Network Security and Intrusion Detection (42 papers) and Privacy-Preserving Technologies in Data (31 papers). Prateek Mittal is often cited by papers focused on Internet Traffic Analysis and Secure E-voting (45 papers), Network Security and Intrusion Detection (42 papers) and Privacy-Preserving Technologies in Data (31 papers). Prateek Mittal collaborates with scholars based in United States, China and Canada. Prateek Mittal's co-authors include Nikita Borisov, George Danezis, H. Vincent Poor, Neil Zhenqiang Gong, Sonia Jahid, Saleh Soltan, Shouling Ji, Raheem Beyah, Matthew Caesar and Arjun Nitin Bhagoji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Communications of the ACM and IEEE Transactions on Power Electronics.

In The Last Decade

Prateek Mittal

118 papers receiving 3.2k citations

Peers

Prateek Mittal

CNC

SPS

Hyoungshick Kim South Korea

Nina Taft United States

Neil Zhenqiang Gong United States

Zakir Durumeric United States

Cristina Nita-Rotaru United States

Nikita Borisov United States

Martin Vechev Switzerland

Matt Fredrikson United States

Bimal Viswanath United States

Seungyeop Han United States

Hyoungshick Kim South Korea

Prateek Mittal

988 ×0.4

1.1k ×0.8

CNC

1.0k ×1.0

772 ×1.2

215 ×0.4

SPS

Citations per year, relative to Prateek Mittal Prateek Mittal (= 1×) peers Hyoungshick Kim

Countries citing papers authored by Prateek Mittal

Since Specialization

Citations

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

Fields of papers citing papers by Prateek Mittal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prateek Mittal

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

All Works

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20 of 20 papers shown

Li, Yufei, Yicheng Liao, Liang Zhao, et al.. (2024). Machine Learning at the Grid Edge: Data-Driven Impedance Models for Model-Free Inverters. IEEE Transactions on Power Electronics. 39(8). 10465–10481. 13 indexed citations

Bhagoji, Arjun Nitin, et al.. (2023). Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning. 3750–3761. 2 indexed citations

Wagh, Sameer, Shruti Tople, Fabrice Benhamouda, et al.. (2021). Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning. SHILAP Revista de lepidopterología. 116 indexed citations

Song, Liwei & Prateek Mittal. (2021). Systematic Evaluation of Privacy Risks of Machine Learning Models. USENIX Security Symposium. 2615–2632. 10 indexed citations

Schmitt, Paul, et al.. (2020). nPrint: A Standard Data Representation for Network Traffic Analysis.. arXiv (Cornell University). 4 indexed citations

Song, Liwei, Reza Shokri, & Prateek Mittal. (2019). Membership Inference Attacks Against Adversarially Robust Deep Learning Models. National University of Singapore. 50–56. 44 indexed citations

Soltan, Saleh, Prateek Mittal, & H. Vincent Poor. (2019). Protecting the Grid Against MAD Attacks. IEEE Transactions on Network Science and Engineering. 7(3). 1310–1326. 21 indexed citations

Huang, Chaoran, Y. Philip, Eric C. Blow, Prateek Mittal, & Paul R. Prucnal. (2019). Accelerated secure key distribution based on localized and asymmetric fiber interferometers. Optics Express. 27(22). 32096–32096. 22 indexed citations

Soltan, Saleh, Prateek Mittal, & H. Vincent Poor. (2019). Line Failure Detection After a Cyber-Physical Attack on the Grid Using Bayesian Regression. IEEE Transactions on Power Systems. 34(5). 3758–3768. 29 indexed citations

10.

Bhagoji, Arjun Nitin, Supriyo Chakraborty, Prateek Mittal, & Seraphin Calo. (2019). Analyzing Federated Learning through an Adversarial Lens. International Conference on Machine Learning. 634–643. 86 indexed citations

11.

Sun, Yixin, et al.. (2018). Tempest: Temporal Dynamics in Anonymity Systems. SHILAP Revista de lepidopterología. 13 indexed citations

12.

Soltan, Saleh, Prateek Mittal, & H. Vincent Poor. (2018). BlackIoT: IoT botnet of high wattage devices can disrupt the power grid. USENIX Security Symposium. 15–32. 154 indexed citations

13.

Cullina, Daniel, Arjun Nitin Bhagoji, & Prateek Mittal. (2018). PAC-learning in the presence of adversaries. Neural Information Processing Systems. 31. 228–239. 13 indexed citations

14.

Gao, Peng, Xusheng Xiao, Li Ding, et al.. (2018). SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection. USENIX Security Symposium. 639–656. 4 indexed citations

15.

Ji, Shouling, Ting Wang, Jianhai Chen, et al.. (2017). De-SAG: On the De-Anonymization of Structure-Attribute Graph Data. IEEE Transactions on Dependable and Secure Computing. 16(4). 594–607. 14 indexed citations

16.

Ji, Shouling, Prateek Mittal, & Raheem Beyah. (2016). Graph Data Anonymization, De-Anonymization Attacks, and De-Anonymizability Quantification: A Survey. IEEE Communications Surveys & Tutorials. 19(2). 1305–1326. 80 indexed citations

17.

Sharma, Sonal, Rajni Jain, & Prateek Mittal. (2016). AGRETL: Tool for ETL activities for agriculture domain. International Conference on Computing for Sustainable Global Development. 1877–1883. 1 indexed citations

18.

He, Warren, et al.. (2015). ASPIRE: iterative specification synthesis for security. 28–28. 3 indexed citations

19.

Danezis, George & Prateek Mittal. (2009). SybilInfer: Detecting Sybil Nodes using Social Networks.. UCL Discovery (University College London). 283 indexed citations

20.

Mittal, Prateek. (1984). Algorithm for error adjustment of potential field data along a survey network. Geophysics. 49(4). 467–469. 12 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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