Demo Data from EDBT 2026 / reviewers in the wild / expert
Jeremy Thomas
dblp:183/8140
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3Human-computer interaction and ubiquitous computing · 3
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
2 papers |
Authentication and access control · 89% Cryptographic protocols and secure computation · 5% Network security · 5% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control › password security
password behavior |
0.3 | 1 | 2017 | Let's Go in for a Closer Look: Observing Passwords in Their Natural Habitat · CCS 2017 |
Authentication and access control › password security › password management
password managers |
0.3 | 1 | 2017 | Let's Go in for a Closer Look: Observing Passwords in Their Natural Habitat · CCS 2017 |
Authentication and access control › password security
password reuse |
0.3 | 1 | 2017 | Let's Go in for a Closer Look: Observing Passwords in Their Natural Habitat · CCS 2017 |
Authentication and access control
password security |
0.3 | 1 | 2017 | Let's Go in for a Closer Look: Observing Passwords in Their Natural Habitat · CCS 2017 |
Cryptographic protocols and secure computation
key exchange |
0.1 | 1 | 2017 | Can Unicorns Help Users Compare Crypto Key Fingerprints? · CHI 2017 |
Network security › attack strategy
man-in-the-middle attack |
0.1 | 1 | 2017 | Can Unicorns Help Users Compare Crypto Key Fingerprints? · CHI 2017 |
Methods — techniques the papers use, named apart from their topics
field study · 0.3between-subjects user experiment · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Let's Go in for a Closer Look: Observing Passwords in Their Natural HabitatabstractText passwords---a frequent vector for account compromise, yet still ubiquitous---have been studied for decades by researchers attempting to determine how to coerce users to create passwords that are hard for attackers to guess but still easy for users to type and memorize. Most studies examine one password or a small number of passwords per user, and studies often rely on passwords created solely for the purpose of the study or on passwords protecting low-value accounts. These limitations severely constrain our understanding of password security in practice, including the extent and nature of password reuse, password behaviors specific to categories of accounts (e.g., financial websites), and the effect of password managers and other privacy tools. Sarah Pearman, Jeremy Thomas, Pardis Emami Naeini, Hana Habib, Lujo Bauer, Nicolas Christin, Lorrie Faith Cranor, Serge Egelman, Alain Forget |
CCS | 2 |
| 2017 | Can Unicorns Help Users Compare Crypto Key Fingerprints?abstractMany authentication schemes ask users to manually compare compact representations of cryptographic keys, known as fingerprints. If the fingerprints do not match, that may signal a man-in-the-middle attack. An adversary performing an attack may use a fingerprint that is similar to the target fingerprint, but not an exact match, to try to fool inattentive users. Fingerprint representations should thus be both usable and secure. We tested the usability and security of eight fingerprint representations under different configurations. In a 661-participant between-subjects experiment, participants compared fingerprints under realistic conditions and were subjected to a simulated attack. The best configuration allowed attacks to succeed 6% of the time; the worst 72%. We find the seemingly effective compare-and-select approach performs poorly for key fingerprints and that graphical fingerprint representations, while intuitive and fast, vary in performance. We identify some fingerprint representations as particularly promising. Lujo Bauer, Joseph Bonneau, Lorrie Faith Cranor, Jeremy Thomas, Blase Ur |
CHI | 5 |
| 2017 | Replication: Challenges in Using Data Logs to Validate Phishing Detection Ability Metrics
Casey Inez Canfield, Baruch Fischhoff, Alain Forget, Sarah Pearman, Jeremy Thomas |
SOUPS | 6 |
| 2016 | Do or Do Not, There Is No Try: User Engagement May Not Improve Security Outcomes
Alain Forget, Sarah Pearman, Jeremy Thomas, Alessandro Acquisti, Nicolas Christin, Lorrie Faith Cranor, Serge Egelman, Marian Harbach, Rahul Telang |
SOUPS | 3 |