Demo Data from EDBT 2026 / reviewers in the wild / expert
Eugen Saraci
dblp:224/4536
· DBLP profile ↗
3ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 3 · 1 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 |
Authentication and access control · 67% Usable security · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Authentication and access control
knowledge-based authentication |
0.6 | 1 | 2022 | Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand · USENIX Security Symposium 2022 |
Authentication and access control › password guessing
PIN inference |
0.6 | 1 | 2022 | Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand · USENIX Security Symposium 2022 |
Usable security
shoulder surfing |
0.6 | 1 | 2022 | Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand · USENIX Security Symposium 2022 |
Methods — techniques the papers use, named apart from their topics
hand pose inference · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Hand Me Your PIN! Inferring ATM PINs of Users Typing with a Covered Hand
Matteo Cardaioli, Stefano Cecconello, Mauro Conti, Simone Milani, Stjepan Picek, Eugen Saraci |
USENIX Security Symposium | 6 |
| 2019 | PILOT: Password and PIN information leakage from obfuscated typing videosabstractThis paper studies leakage of user passwords and PINs based on observations of typing feedback on screens or from projectors in the form of masked characters (∗ or ∙) that indicate keystrokes. To this end, we developed an attack called Password and Pin Information Leakage from Obfuscated Typing Videos ( PILOT ). Our attack extracts inter-keystroke timing information from videos of password masking characters displayed when users type their password on a computer, or their PIN at an ATM. We conducted several experiments in various attack scenarios. Results indicate that, while in some cases leakage is minor, it is quite substantial in others. By leveraging inter-keystroke timings, PILOT recovers 8-character alphanumeric passwords in as little as 19 attempts. When guessing PINs, PILOT significantly improved on both random guessing and the attack strategy adopted in our prior work (In European Symposium on Research in Computer Security ( 2018 ) 263–280 Springer). In particular, we were able to guess about 3% of the PINs within 10 attempts. This corresponds to a 26-fold improvement compared to random guessing. Our results strongly indicate that secure password masking GUIs must consider the information leakage identified in this paper. Kiran S. Balagani, Matteo Cardaioli, Mauro Conti, Paolo Gasti, Martin Georgiev, Tristan Gurtler, Daniele Lain, Charissa Miller, Kendall Molas, Nikita Samarin, Eugen Saraci, Gene Tsudik, Lynn Wu |
J. Comput. Secur. | 11 |
| 2018 | SILK-TV: Secret Information Leakage from Keystroke Timing Videos
Kiran S. Balagani, Mauro Conti, Paolo Gasti, Martin Georgiev, Tristan Gurtler, Daniele Lain, Charissa Miller, Kendall Molas, Nikita Samarin, Eugen Saraci, Gene Tsudik, Lynn Wu |
ESORICS (1) | 10 |