Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Leonhard Mertl

dblp:239/7845 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Interaction techniques and input › text entry
mobile text entry
0.412019
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
0.412019
Passquerade: Improving Error Correction of Text Passwords on Mobile Devices by using Graphic Filters for Password Masking · CHI 2019
Usable security
shoulder surfing resistance
0.112019
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
YearPublicationVenuePosition
2019 Passquerade: Improving Error Correction of Text Passwords on Mobile Devices by using Graphic Filters for Password Masking
abstract
Entering 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
CHI3