Boel Nelson

20 papers A* 2A 1B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
User Perceptions and Attitudes Toward Untraceability in Messaging Platforms.
Proc. Priv. Enhancing Technol.
Carla F. Griggio, Boel Nelson, Zefan Sramek, Aslan Askarov
2025 A* conf
Private Lossless Multiple Release.
ICML
Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson, Rasmus Pagh
2025 J jnl
Private Lossless Multiple Release.
CoRR
Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson, Rasmus Pagh
2025 J jnl
User Perceptions and Attitudes Toward Untraceability in Messaging Platforms.
CoRR
Carla F. Griggio, Boel Nelson, Zefan Sramek, Aslan Askarov
2024 A* conf
Differentially Private Selection from Secure Distributed Computing.
WWW
Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
2024 A conf
Metadata Privacy Beyond Tunneling for Instant Messaging.
EuroS&P
Boel Nelson, Elena Pagnin, Aslan Askarov
2024 J jnl
PLAN: Variance-Aware Private Mean Estimation.
Proc. Priv. Enhancing Technol.
Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh
2023 J jnl
Differentially Private Selection from Secure Distributed Computing.
CoRR
Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
2023 J jnl
Differentially Private Selection from Secure Distributed Computing.
IACR Cryptol. ePrint Arch.
Ivan Damgård, Hannah Keller, Boel Nelson, Claudio Orlandi, Rasmus Pagh
2023 J jnl
PLAN: Variance-Aware Private Mean Estimation.
CoRR
Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh
2022 J jnl
To Signal or Not to Signal? Layering Traffic Analysis Resistance on Secure Instant Messaging.
CoRR
Boel Nelson, Elena Pagnin, Aslan Askarov
2022 J jnl
With a Little Help from My Friends: Transport Deniability for Instant Messaging.
CoRR
Boel Nelson, Aslan Askarov
2021 J jnl
Efficient Accuracy Prediction for Differentially Private Algorithms.
CoRR
Boel Nelson
2021 B conf
Efficient Error Prediction for Differentially Private Algorithms.
ARES
Boel Nelson
2021 J jnl
Randori: Local Differential Privacy for All.
CoRR
Boel Nelson
2020 J jnl
SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication.
Trans. Data Priv.
Boel Nelson, Jenni Reuben
2019 J jnl
Chasing Accuracy and Privacy, and Catching Both: A Literature Survey on Differentially Private Histogram Publication.
CoRR
Boel Nelson, Jenni Reuben
2017 — conf
Introducing Differential Privacy to the Automotive Domain: Opportunities and Challenges.
VTC Fall
Boel Nelson, Tomas Olovsson
2017 — conf
Joint Subjective and Objective Data Capture and Analytics for Automotive Applications.
VTC Fall
Mathias Johanson, Jonas Jalminger, Emmanuel Frécon, Boel Nelson, Tomas Olovsson, Mats Gjertz
2016 — conf
Security and privacy for big data: A systematic literature review.
IEEE BigData
Boel Nelson, Tomas Olovsson