Prateek Mittal
- Artificial Intelligence top 0.5%
- Internet Traffic Analysis and Secure E-voting 45
- Privacy-Preserving Technologies in Data 31
- Adversarial Robustness in Machine Learning 19
- Anomaly Detection Techniques and Applications 14
- Computer Networks and Communications top 0.5%
- Network Security and Intrusion Detection 42
- Signal Processing top 1%
- Advanced Malware Detection Techniques 18
- Information Systems top 0.5%
- Spam and Phishing Detection 14
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- Privacy, Security, and Data Protection 13
- Co-authors
- Nikita BorisovGeorge DanezisH. Vincent PoorNeil Zhenqiang GongSonia JahidSaleh SoltanShouling JiRaheem Beyah
- Partner nations
- United StatesChinaCanada
In The Last Decade
Prateek Mittal
118 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 2.4k
- Computer Networks and Communications 1.4k
- Signal Processing 627
- Information Systems 982
- Statistical and Nonlinear Physics 237
Countries citing papers authored by Prateek Mittal
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
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
The 25 scholars most cited alongside Prateek Mittal, 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 | 2024 | 13 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 116 | |
| 4 | Systematic Evaluation of Privacy Risks of Machine Learning Models | 2021 | 10 |
| 5 | nPrint: A Standard Data Representation for Network Traffic Analysis. | 2020 | 4 |
| 6 | 2019 | 44 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 22 | |
| 9 | 2019 | 29 | |
| 10 | Analyzing Federated Learning through an Adversarial Lens | 2019 | 86 |
| 11 | 2018 | 13 | |
| 12 | BlackIoT: IoT botnet of high wattage devices can disrupt the power grid | 2018 | 154 |
| 13 | PAC-learning in the presence of adversaries | 2018 | 13 |
| 14 | SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection | 2018 | 4 |
| 15 | 2017 | 14 | |
| 16 | 2016 | 80 | |
| 17 | AGRETL: Tool for ETL activities for agriculture domain | 2016 | 1 |
| 18 | ASPIRE: iterative specification synthesis for security | 2015 | 3 |
| 19 | SybilInfer: Detecting Sybil Nodes using Social Networks. | 2009 | 283 |
| 20 | 1984 | 12 |
About Prateek Mittal
Prateek Mittal is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing, having authored 120 papers that have together received 3.4k indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (45 papers), Network Security and Intrusion Detection (42 papers), Privacy-Preserving Technologies in Data (31 papers), Adversarial Robustness in Machine Learning (19 papers), Advanced Malware Detection Techniques (18 papers), Spam and Phishing Detection (14 papers), Anomaly Detection Techniques and Applications (14 papers) and Privacy, Security, and Data Protection (13 papers). The work is most often cited by research in Artificial Intelligence (2.4k citations), Computer Networks and Communications (1.4k citations) and Signal Processing (627 citations). Prateek Mittal has collaborated with scholars based in United States, China and Canada. Frequent 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.
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.