Benjamin I. P. Rubinstein
- Artificial Intelligence top 0.5%
- Computer Networks and Communications top 2%
- Signal Processing top 1%
- Information Systems top 1%
- Computer Science Applications top 1%
- Topics
- Adversarial Robustness in Machine Learning (23 papers)Privacy-Preserving Technologies in Data (19 papers)Network Security and Intrusion Detection (13 papers)
- Journals
- ScienceSHILAP Revista de lepidopterologíaPLANT PHYSIOLOGY
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Benjamin I. P. Rubinstein
83 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Artificial Intelligence 1.7k
- Computer Networks and Communications 762
- Signal Processing 628
- Information Systems 465
- Computer Science Applications 343
Countries citing papers authored by Benjamin I. P. Rubinstein
This map shows the geographic impact of Benjamin I. P. Rubinstein'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 Benjamin I. P. Rubinstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin I. P. Rubinstein more than expected).
Fields of papers citing papers by Benjamin I. P. Rubinstein
This network shows the impact of papers produced by Benjamin I. P. Rubinstein. 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 Benjamin I. P. Rubinstein. The network helps show where Benjamin I. P. Rubinstein may publish in the future.
Co-authorship network of co-authors of Benjamin I. P. Rubinstein
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin I. P. Rubinstein. A scholar is included among the top collaborators of Benjamin I. P. Rubinstein 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 Benjamin I. P. Rubinstein. Benjamin I. P. Rubinstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness | 8 |
| 10 | Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking. | 1 |
| 11 | Exploiting Worker Correlation for Label Aggregation in Crowdsourcing | 19 |
| 12 | Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks | 1 |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 48 | |
| 16 | 13 | |
| 17 | Exploiting machine learning to subvert your spam filter | 173 |
| 18 | Geometric & topological representations of maximum classes with applications to sample compression | 3 |
| 19 | Evading Anomaly Detection through Variance Injection Attacks on PCA (Extended Abstract) | 2 |
| 20 | 55 |
About Benjamin I. P. Rubinstein
Benjamin I. P. Rubinstein is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (23 papers), Privacy-Preserving Technologies in Data (19 papers) and Network Security and Intrusion Detection (13 papers). The work is most often cited by research in Computer Science Applications (343 citations), Signal Processing (628 citations) and Artificial Intelligence (1.7k citations). Benjamin I. P. Rubinstein has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Anthony D. Joseph, Ling Huang, J. D. Tygar, Blaine Nelson, Nina Taft, Jim Gemmell, Jiawei Han, Bo Zhao, Blaine Nelson and Douglas G. Luster. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.
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.