Hossein Yalame
- Artificial Intelligence top 10%
- Cryptography and Data Security 14
- Privacy-Preserving Technologies in Data 9
- Stochastic Gradient Optimization Techniques 4
- Adversarial Robustness in Machine Learning 2
- Cryptographic Implementations and Security 1
- Internet Traffic Analysis and Secure E-voting 1
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- Cloud Data Security Solutions 2
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- Complexity and Algorithms in Graphs 4
- Co-authors
- Thomas SchneiderAjith SureshDaniel DemmlerFabian BoemerRosario CammarotaAditya HegdeMurali AnnavaramYaniv Ben-Itzhak
- Journals
- IEEE Transactions on Information Forensics and Security (1 paper)SHILAP Revista de lepidopterología (1 paper)Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (1 paper)
- Partner nations
- GermanyUnited StatesUnited Arab Emirates
In The Last Decade
Hossein Yalame
12 papers receiving 128 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 123
- Health Informatics 3
- Information Systems 14
- Computer Science Applications 3
- Computational Theory and Mathematics 8
Countries citing papers authored by Hossein Yalame
This map shows the geographic impact of Hossein Yalame'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 Hossein Yalame with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hossein Yalame more than expected).
Fields of papers citing papers by Hossein Yalame
This network shows the impact of papers produced by Hossein Yalame. 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 Hossein Yalame. The network helps show where Hossein Yalame may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Hossein Yalame, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 27 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 0 | |
| 12 | BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS | 2021 | 1 |
| 13 | 2021 | 15 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 38 |
About Hossein Yalame
Hossein Yalame is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Science Applications, having authored 15 papers that have together received 131 indexed citations. Recurring topics across this work include Cryptography and Data Security (14 papers), Privacy-Preserving Technologies in Data (9 papers), Complexity and Algorithms in Graphs (4 papers), Stochastic Gradient Optimization Techniques (4 papers), Adversarial Robustness in Machine Learning (2 papers), Cloud Data Security Solutions (2 papers), Cryptographic Implementations and Security (1 paper) and Internet Traffic Analysis and Secure E-voting (1 paper). The work is most often cited by research in Artificial Intelligence (123 citations), Health Informatics (3 citations) and Information Systems (14 citations). Hossein Yalame has collaborated with scholars based in Germany, United States and United Arab Emirates. Frequent co-authors include Thomas Schneider, Ajith Suresh, Daniel Demmler, Fabian Boemer, Rosario Cammarota, Aditya Hegde, Murali Annavaram, Yaniv Ben-Itzhak, Shay Vargaftik and Samuel Marchal. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, SHILAP Revista de lepidopterología, Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, Proceedings on Privacy Enhancing Technologies and TUbilio (Technical University of Darmstadt).
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.