2026 Alina Oprea: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	37	10529	10232	4411	4228	118	8492

Overview

Alina Oprea is a researcher affiliated with Northeastern University in the United States. Their primary field of study is Computer Science, with a focus on Artificial Intelligence, Computer Networks and Communications, and Signal Processing. Additional areas of work include Sociology and Political Science as well as Information Systems.

The main research topics addressed by Oprea include:

Adversarial Robustness in Machine Learning
Network Security and Intrusion Detection
Privacy-Preserving Technologies in Data
Anomaly Detection Techniques and Applications
Advanced Malware Detection Techniques
Internet Traffic Analysis and Secure E-voting
Cryptography and Data Security

Oprea has an extensive publication record with a total of 111 contributions in Computer Science. Of these, 78 concern Artificial Intelligence specifically. Their publications often appear in venues such as arXiv (Cornell University), ACM Transactions on Privacy and Security, Proceedings on Privacy Enhancing Technologies, IEEE Security & Privacy, and ACM Computing Surveys.

Recent notable papers authored or coauthored by Oprea include:

"Extracting Training Data from Large Language Models," 2020, arXiv (Cornell University)
"Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning," 2023, ACM Computing Surveys
"Auditing Differentially Private Machine Learning: How Private is Private SGD?" 2020, arXiv (Cornell University)
"Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers," 2020, arXiv (Cornell University)
"FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments," 2022, ACM Transactions on Privacy and Security

Collaborative work is an important aspect of Oprea's research output. Frequent coauthors include:

Simona Boboila
Matthew Jagielski
Jonathan Ullman
Giorgio Severi
Tina Eliassi-Rad

Best Publications

HAIL: a high-availability and integrity layer for cloud storage

Kevin D. Bowers;Ari Juels;Alina Oprea

1399
Citations
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning

Matthew Jagielski;Alina Oprea;Battista Biggio;Chang Liu

879
Citations
Proofs of retrievability: theory and implementation

Kevin D. Bowers;Ari Juels;Alina Oprea

790
Citations
HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis

Yinqian Zhang;Ari Juels;Alina Oprea;Michael K. Reiter

473
Citations
Extracting Training Data from Large Language Models

Nicholas Carlini;Florian Tramèr;Eric Wallace;Matthew Jagielski

390
Citations
Beehive: large-scale log analysis for detecting suspicious activity in enterprise networks

Ting-Fang Yen;Alina Oprea;Kaan Onarlioglu;Todd Leetham

369
Citations
FlipIt: The Game of Stealthy Takeover

Marten Dijk;Ari Juels;Alina Oprea;Ronald L. Rivest

314
Citations
Iris: a scalable cloud file system with efficient integrity checks

Emil Stefanov;Marten van Dijk;Ari Juels;Alina Oprea

242
Citations
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

Ambra Demontis;Marco Melis;Maura Pintor;Matthew Jagielski

216
Citations
Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data

Alina Oprea;Zhou Li;Ting-Fang Yen;Sang H. Chin

212
Citations
New approaches to security and availability for cloud data

Ari Juels;Alina Oprea

207
Citations
Detection of malicious web activity in enterprise computer networks

Alina M. Oprea;Zhou Li;Robin Norris;Kevin D. Bowers

188
Citations
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning

Unknown

146
Citations
Space-Efficient Block Storage Integrity.

Alina Oprea;Michael K. Reiter

124
Citations
How to tell if your cloud files are vulnerable to drive crashes

Kevin D. Bowers;Marten van Dijk;Ari Juels;Alina Oprea

120
Citations
Scalable cloud file system with efficient integrity checks

Emil P. Stefanov;Marten E. Van Dijk;Alina M. Oprea;Ari Juels

106
Citations
Robust Linear Regression Against Training Data Poisoning

Chang Liu;Bo Li;Yevgeniy Vorobeychik;Alina Oprea

96
Citations
Securing a remote terminal application with a mobile trusted device

A. Oprea;D. Balfanz;G. Durfee;D.K. Smetters

93
Citations
Hourglass schemes: how to prove that cloud files are encrypted

Marten van Dijk;Ari Juels;Alina Oprea;Ronald L. Rivest

92
Citations
An Epidemiological Study of Malware Encounters in a Large Enterprise

Ting-Fang Yen;Victor Heorhiadi;Alina Oprea;Michael K. Reiter

83
Citations
Auditing Differentially Private Machine Learning: How Private is Private SGD?

Matthew Jagielski;Jonathan R. Ullman;Alina Oprea

82
Citations
Differentially Private Fair Learning

Matthew Jagielski;Michael J. Kearns;Jieming Mao;Alina Oprea

72
Citations
Iris: A Scalable Cloud File System with Efficient Integrity Checks.

Emil Stefanov;Marten van Dijk;Alina Oprea;Ari Juels

13
Citations

Frequent Co-Authors

Ari Juels Cornell University

Marten van Dijk University of Connecticut

Ronald L. Rivest MIT

Michael K. Reiter Duke University

Cristina Nita-Rotaru Northeastern University

Dawn Song University of California, Berkeley

Battista Biggio University of Cagliari

Christian Cachin University of Bern

Michael Backes University of Oxford

William Robertson Northeastern University

External Links

Personal website of Alina Oprea Google Scholar page

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