Demo Data from EDBT 2026 / reviewers in the wild / expert
Margaret Pierce
dblp:394/4518
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 1 first-author · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Network security · 70% Usable security · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › security operations
abuse reporting |
0.9 | 1 | 2025 | Onion Franking: Abuse Reports for Mix-Based Private Messaging · NDSS 2025 |
Network security
anonymity networks |
0.9 | 1 | 2025 | Onion Franking: Abuse Reports for Mix-Based Private Messaging · NDSS 2025 |
Network security › anonymity networks
mix networks |
0.9 | 1 | 2025 | Onion Franking: Abuse Reports for Mix-Based Private Messaging · NDSS 2025 |
Network security › anonymity networks
anonymous communication |
0.3 | 1 | 2025 | Onion Franking: Abuse Reports for Mix-Based Private Messaging · NDSS 2025 |
Methods — techniques the papers use, named apart from their topics
franking · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Onion Franking: Abuse Reports for Mix-Based Private Messaging
Matthew Gregoire, Margaret Pierce, Saba Eskandarian |
NDSS | 2 |
| 2025 | Silent Splitter: Privacy for Payment Splitting via New Protocols for Distributed Point FunctionsabstractIn a world where financial transactions are primarily performed or recorded online, protecting sensitive transaction details has become crucial. Roommates sharing housing costs or friends splitting travelling expenses may use applications such as Splitwise to easily track debts and minimize the number of individual repayments. However, these apps reveal potentially sensitive financial transaction activity to their operators. In this paper, we present Silent Splitter, a privacy-preserving payment splitting system which enables users to securely set up groups, perform transactions within those groups, and ``settle up'' without revealing group membership or any sensitive transaction details (such as the users involved or amount of money exchanged) to the system itself. Silent Splitter operates in the two server setting and uses Distributed Point Functions (DPFs) to securely record transactions. Of independent interest, we also present new protocols for proving knowledge of properties of DPFs as part of our system. Margaret Pierce, Saba Eskandarian |
Proc. Priv. Enhancing Technol. | 1 |