What is she best known for?
The fields of study she is best known for:
- Operating system
- Computer security
- Artificial intelligence
Her main research concerns Computer security, Cloud computing, Cloud storage, Computer network and Retrievability.
Her Computer security study frequently intersects with other fields, such as Virtual machine.
Her Cloud computing research incorporates themes from CPU cache and Key.
Her Cloud storage study frequently links to adjacent areas such as Adversary.
Her Adversary study deals with Distributed computing intersecting with Server.
Her Computer network research includes elements of Cloud data and Cloud computing security.
Her most cited work include:
- HAIL: a high-availability and integrity layer for cloud storage (714 citations)
- Proofs of retrievability: theory and implementation (412 citations)
- HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis (274 citations)
What are the main themes of her work throughout her whole career to date?
Alina Oprea mostly deals with Computer security, Computer network, Cryptography, Cloud computing and Artificial intelligence.
Her work in the fields of Computer security, such as Malware, Backdoor, Password and Secrecy, intersects with other areas such as Compromise.
Her Encryption, Server and Public-key cryptography study in the realm of Computer network interacts with subjects such as Interface.
Alina Oprea has researched Server in several fields, including Byte and File size.
Her research integrates issues of Adversary, Key and Distributed computing in her study of Cryptography.
Her work deals with themes such as Virtual machine and Scalability, which intersect with Cloud computing.
She most often published in these fields:
- Computer security (29.91%)
- Computer network (14.95%)
- Cryptography (14.95%)
What were the highlights of her more recent work (between 2018-2021)?
- Artificial intelligence (13.08%)
- Computer security (29.91%)
- Machine learning (9.35%)
In recent papers she was focusing on the following fields of study:
Her primary scientific interests are in Artificial intelligence, Computer security, Machine learning, Malware and Backdoor.
In Artificial intelligence, Alina Oprea works on issues like Exploit, which are connected to Database.
Her Computer security study incorporates themes from Adversarial system and The Internet.
Her study in Robustness is interdisciplinary in nature, drawing from both Adversary and Temporal difference learning.
Alina Oprea has included themes like Information retrieval, Personally identifiable information and Code in her Adversary study.
Her studies deal with areas such as Computer security model, Distributed computing and Cluster analysis as well as Cryptography.
Between 2018 and 2021, her most popular works were:
- Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks (83 citations)
- Extracting Training Data from Large Language Models (36 citations)
- Differentially Private Fair Learning. (26 citations)
In her most recent research, the most cited papers focused on:
- Operating system
- The Internet
- Artificial intelligence
Alina Oprea mainly investigates Computer security, Backdoor, Differential privacy, Evasion and Inference.
In most of her Computer security studies, her work intersects topics such as Adversarial system.
Her Backdoor study combines topics from a wide range of disciplines, such as Watermark, Malware and Digital watermarking.
Her Differential privacy research is multidisciplinary, incorporating perspectives in Complement, Theoretical computer science and Internet privacy.
She interconnects Surrogate model and Vulnerability in the investigation of issues within Evasion.
Her Inference study frequently draws connections to other fields, such as Variety.
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