Roei Schuster
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting
- Privacy-Preserving Technologies in Data
- Cryptography and Data Security
- Adversarial Robustness in Machine Learning
- Security and Verification in Computing
Papers in
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- Privacy-Preserving Technologies in Data 2
- Cryptography and Data Security 2
- Security and Verification in Computing 2
- Topic Modeling 2
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- Advanced Malware Detection Techniques 4
- Co-authors
- Eran Tromer (6 shared papers)Vitaly Shmatikov (3 shared papers)Franziska Boenisch (2 shared papers)Adam Dziedzic (2 shared papers)Ali Shahin Shamsabadi (2 shared papers)Ilia Shumailov (2 shared papers)Nicolas Papernot (2 shared papers)Daniel Genkin (1 shared paper)
- Journals
- Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)arXiv (Cornell University) (3 papers)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Roei Schuster
10 papers receiving 293 citations
Peers
Comparison fields: 5 of 40
- Signal Processing 93
- Artificial Intelligence 234
- Computer Networks and Communications 86
- Information Systems 78
- Hardware and Architecture 17
Countries citing papers authored by Roei Schuster
This map shows the geographic impact of Roei Schuster'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 Roei Schuster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roei Schuster more than expected).
Fields of papers citing papers by Roei Schuster
This network shows the impact of papers produced by Roei Schuster. 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 Roei Schuster. The network helps show where Roei Schuster may publish in the future.
Co-authors
The 15 scholars most cited alongside Roei Schuster, 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 | Beauty and the burst: remote identification of encrypted video streams | 2017 | 74 |
| 2 | 2023 | 67 | |
| 3 | 2018 | 53 | |
| 4 | 2019 | 49 | |
| 5 | You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion | 2021 | 20 |
| 6 | 2023 | 14 | |
| 7 | 2016 | 8 | |
| 8 | Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection. | 2019 | 6 |
| 9 | 2023 | 6 | |
| 10 | 2022 | 4 |
About Roei Schuster
Roei Schuster is a scholar working on Artificial Intelligence, Signal Processing, Sociology and Political Science, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 10 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (4 papers), Privacy-Preserving Technologies in Data (2 papers), Cryptography and Data Security (2 papers), Security and Verification in Computing (2 papers), Privacy, Security, and Data Protection (2 papers), Network Security and Intrusion Detection (2 papers), Topic Modeling (2 papers) and Digital Media Forensic Detection (2 papers). The work is most often cited by research in Signal Processing (93 citations), Artificial Intelligence (234 citations), Computer Networks and Communications (86 citations), Information Systems (78 citations) and Hardware and Architecture (17 citations). Roei Schuster has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Eran Tromer, Vitaly Shmatikov, Franziska Boenisch, Adam Dziedzic, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot, Daniel Genkin, Congzheng Song and Darsh Shah. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies 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.