Demo Data from VLDB 2026 / reviewers in the wild / expert
Leonhard Mertl
dblp:239/7845
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 · 77% Usable security · 23% | |
| Human-computer interaction and pervasive computing
1 paper |
Interaction techniques and input · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › text entry
mobile text entry |
0.4 | 1 | 2019 | Passquerade: Improving Error Correction of Text Passwords on Mobile Devices by using Graphic Filters for Password Masking · CHI 2019 |
Authentication and access control › password authentication
password entry |
0.4 | 1 | 2019 | Passquerade: Improving Error Correction of Text Passwords on Mobile Devices by using Graphic Filters for Password Masking · CHI 2019 |
Usable security
shoulder surfing resistance |
0.1 | 1 | 2019 | Passquerade: Improving Error Correction of Text Passwords on Mobile Devices by using Graphic Filters for Password Masking · CHI 2019 |
Methods — techniques the papers use, named apart from their topics
user study · 0.8online questionnaire · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Passquerade: Improving Error Correction of Text Passwords on Mobile Devices by using Graphic Filters for Password MaskingabstractEntering text passwords on mobile devices is a significant challenge. Current systems either display passwords in plain text: making them visible to bystanders, or replace characters with asterisks shortly after they are typed: making editing them harder. This work presents a novel approach to mask text passwords by distorting them using graphical filters. Distorted passwords are difficult to observe by attackers because they cannot mentally reverse the distortions. Yet passwords remain readable by their owners because humans can recognize visually distorted versions of content they saw before. We present results of an online questionnaire and a user study where we compared Color-halftone, Crystallize, Blurring, and Mosaic filters to Plain text and Asterisks when 1) entering, 2) editing, and 3) shoulder surfing one-word passwords, random character passwords, and passphrases. Rigorous analysis shows that Color-halftone and Crystallize filters significantly improve editing speed, editing accuracy and observation resistance compared to current approaches. Mohamed Khamis, Tobias Seitz, Leonhard Mertl, Alice Nguyen, Mario Schneller |
CHI | 3 |