Alina Oprea
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Computer Networks and Communications top 1%
- Signal Processing top 1%
- Control and Systems Engineering top 10%
- Co-authors
- Ari JuelsKevin D. BowersMichael K. ReiterCristina Nita-RotaruChang LiuBattista BiggioMarten van DijkMatthew Jagielski
- Topics
- Advanced Malware Detection Techniques (22 papers)Adversarial Robustness in Machine Learning (21 papers)Network Security and Intrusion Detection (19 papers)
- Partner nations
- United StatesMexicoSwitzerland
In The Last Decade
Alina Oprea
61 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 1.9k
- Information Systems 1.5k
- Computer Networks and Communications 1.2k
- Signal Processing 528
- Control and Systems Engineering 101
Countries citing papers authored by Alina Oprea
This map shows the geographic impact of Alina Oprea'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 Alina Oprea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alina Oprea more than expected).
Fields of papers citing papers by Alina Oprea
This network shows the impact of papers produced by Alina Oprea. 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 Alina Oprea. The network helps show where Alina Oprea may publish in the future.
Co-authorship network of co-authors of Alina Oprea
This figure shows the co-authorship network connecting the top 25 collaborators of Alina Oprea. A scholar is included among the top collaborators of Alina Oprea 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 Alina Oprea. Alina Oprea is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 58 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | Auditing Differentially Private Machine Learning: How Private is Private SGD? | 3 |
| 14 | What's in an Exploit? An Empirical Analysis of Reflected Server XSS Exploitation Techniques. | 3 |
| 15 | Playing Adaptively Against Stealthy Opponents: A Reinforcement Learning Strategy for the FlipIt Security Game. | 0 |
| 16 | On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks. | 2 |
| 17 | How to Tell if Your Cloud Files Are Vulnerable to Drive Crashes. | 2 |
| 18 | Integrity checking in cryptographic file systems with constant trusted storage | 21 |
| 19 | Space-Efficient Block Storage Integrity. | 46 |
| 20 | Private Keyword-Based Push and Pull with Applications to Anonymous Communication (Extended Abstract) | 0 |
About Alina Oprea
Alina Oprea is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 64 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (22 papers), Adversarial Robustness in Machine Learning (21 papers) and Network Security and Intrusion Detection (19 papers). The work is most often cited by research in Information Systems (1.5k citations), Artificial Intelligence (1.9k citations) and Computer Networks and Communications (1.2k citations). Alina Oprea has collaborated with scholars based in United States, Mexico and Switzerland. Frequent co-authors include Ari Juels, Kevin D. Bowers, Michael K. Reiter, Cristina Nita-Rotaru, Chang Liu, Battista Biggio, Marten van Dijk, Matthew Jagielski, Bo Li and Ting-Fang Yen. Their work appears in journals such as Communications of the ACM, ACM Computing Surveys and Computer.
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.