2 citations · 4 across the 9 of their papers we have counts for
8 papers · 1 filter
User Perceptions and Attitudes Toward Untraceability in Messaging Platforms
Carla F. Griggio, Boel Nelson, Zefan Sramek +1
Mainstream messaging platforms offer a variety of features designed to enhance user privacy, such as password-protected chats and end-to-end encryption, which primarily protect mes…
Private Lossless Multiple Release
Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson +1
Koufogiannis et al. (2016) showed a result for Laplace noise-based differentially private mechanisms: given an -DP release, a new release wi…
Differentially Private Selection from Secure Distributed Computing
Ivan Damgård, Hannah Keller, Boel Nelson +2
Given a collection of vectors , the selection problem asks to report the index of an "approximately largest" entry in .…
PLAN: Variance-Aware Private Mean Estimation
Martin Aumüller, Christian Janos Lebeda, Boel Nelson +1
Differentially private mean estimation is an important building block in privacy-preserving algorithms for data analysis and machine learning. Though the trade-off between privacy…
Metadata Privacy Beyond Tunneling for Instant Messaging
Boel Nelson, Elena Pagnin, Aslan Askarov
Transport layer data leaks metadata unintentionally -- such as who communicates with whom. While tools for strong transport layer privacy exist, they have adoption obstacles, inclu…
With a Little Help from My Friends: Transport Deniability for Instant Messaging
Boel Nelson, Aslan Askarov
Traffic analysis for instant messaging (IM) applications continues to pose an important privacy challenge. In particular, transport-level data can leak unintentional information ab…
Efficient Error Prediction for Differentially Private Algorithms
Boel Nelson
Differential privacy is a strong mathematical notion of privacy. Still, a prominent challenge when using differential privacy in real data collection is understanding and counterac…
Randori: Local Differential Privacy for All
Boel Nelson
Polls are a common way of collecting data, including product reviews and feedback forms. However, few data collectors give upfront privacy guarantees. Additionally, when privacy gu…