2026 Ulfar Erlingsson: 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	52	4972	4835	2313	2234	119	16597

Ulfar Erlingsson publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ulfar Erlingsson sits on this spectrum.

32 publications 991+

This scientist: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ulfar Erlingsson D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ulfar Erlingsson sits on this spectrum.

30 D-Index 131+

This scientist: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Úlfar Erlingsson is affiliated with Lacework in the United States. Their research is situated primarily within the field of Computer Science, with a significant focus on Artificial Intelligence. The subfields they have explored include Hardware and Architecture as well as Signal Processing.

Their work covers several main topics, notably:

Privacy-Preserving Technologies in Data
Adversarial Robustness in Machine Learning
Internet Traffic Analysis and Secure E-voting
Stochastic Gradient Optimization Techniques
Topic Modeling
Security and Verification in Computing
Parallel Computing and Optimization Techniques

Úlfar Erlingsson has published papers in various venues, with a concentration in:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Recent publications include:

"Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation," 2020, arXiv (Cornell University)
"Information-Theoretic Single-Server PIR in the Shuffle Model," 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)

Beyond Úlfar Erlingsson's own authored work, there is a notable coauthor network comprising:

Abhradeep Thakurta (4 coauthored works)
Shuang Song (3 coauthored works)
Nicolas Papernot (2 coauthored works)
Steve Chien (2 coauthored works)
Vitaly Feldman (2 coauthored works)

The research contributions emphasize privacy and security aspects within data and machine learning contexts. Some papers from coauthors linked to Úlfar Erlingsson address topics such as differential privacy and training data extraction from large language models, reflecting a broader ecosystem of privacy-aware AI research.

Best Publications

Control-flow integrity principles, implementations, and applications

Martín Abadi;Mihai Budiu;Úlfar Erlingsson;Jay Ligatti

2323
Citations
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response

Úlfar Erlingsson;Vasyl Pihur;Aleksandra Korolova

2083
Citations
Control-flow integrity

Martín Abadi;Mihai Budiu;Úlfar Erlingsson;Jay Ligatti

1147
Citations
DryadLINQ: a system for general-purpose distributed data-parallel computing using a high-level language

Yuan Yu;Michael Isard;Dennis Fetterly;Mihai Budiu

1086
Citations
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Nicholas Carlini;Chang Liu;Úlfar Erlingsson;Jernej Kos

559
Citations
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Nicolas Papernot;Martín Abadi;Úlfar Erlingsson;Ian J. Goodfellow

548
Citations
SASI enforcement of security policies: a retrospective

Úlfar Erlingsson;Fred B. Schneider

539
Citations
XFI: software guards for system address spaces

Úlfar Erlingsson;Martín Abadi;Michael Vrable;Mihai Budiu

533
Citations
SASI enforcement of security policies: a retrospective

U. Erlingsson;F.B. Schneider

531
Citations
Enforcing forward-edge control-flow integrity in GCC & LLVM

Caroline Tice;Tom Roeder;Peter Collingbourne;Stephen Checkoway

434
Citations
IRM enforcement of Java stack inspection

U. Erlingsson;F.B. Schneider

425
Citations
Prochlo: Strong Privacy for Analytics in the Crowd

Andrea Bittau;Úlfar Erlingsson;Petros Maniatis;Ilya Mironov

401
Citations
Extracting Training Data from Large Language Models

Nicholas Carlini;Florian Tramèr;Eric Wallace;Matthew Jagielski

390
Citations
Scalable Private Learning with PATE

Nicolas Papernot;Shuang Song;Ilya Mironov;Ananth Raghunathan

383
Citations
Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries

Giulia C. Fanti;Vasyl Pihur;Úlfar Erlingsson

295
Citations
The inlined reference monitor approach to security policy enforcement

Fred B. Schneider;Úlfar Erlingsson

292
Citations
Methods and systems for implementing a secure application execution environment using derived user accounts for internet content

Ulfar Erlingsson

233
Citations
Control-Flow Integrity - Principles, Implementations, and Applications

Martn Abadi;Mihai Budiu;Ulfar Erlingsson;Jay Ligatti

217
Citations
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity

Úlfar Erlingsson;Vitaly Feldman;Ilya Mironov;Ananth Raghunathan

188
Citations
Engineering Secure Software and Systems

Úlfar Erlingsson;Roelf J. Wieringa;Nicola Zannone

179
Citations
Amplification by shuffling: from local to central differential privacy via anonymity

Úlfar Erlingsson;Vitaly Feldman;Ilya Mironov;Ananth Raghunathan

177
Citations
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets

Nicholas Carlini;Chang Liu;Jernej Kos;Úlfar Erlingsson

165
Citations
A General Approach to Adding Differential Privacy to Iterative Training Procedures

Brendan McMahan;Galen Andrew;Ilya Mironov;Nicolas Papernot

130
Citations

Frequent Co-Authors

Martín Abadi Google (United States)

Ilya Mironov Google (United States)

Nicolas Papernot University of Toronto

Benjamin Livshits Imperial College London

Kunal Talwar Apple (United States)

Abhradeep Thakurta Google (United States)

Nicholas Carlini Google (United States)

Michael Isard Google (United States)

Frank McSherry Materialize, Inc.

Dawn Song University of California, Berkeley

External Links

Personal website of Ulfar Erlingsson Google Scholar page

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