EDBT 2026 Demo / reviewers in the wild / expert
Nadine Jost
dblp:432/5259
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0007-0542-6915ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 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 |
Usable security · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security › security behavior
developer security behavior |
1.0 | 1 | 2026 | "The AI tool can't make it any worse." Investigating Developers' Security Behavior with AI Assistants in a Password Storage Study · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
quantitative online study · 1.0qualitative lab study · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | "The AI tool can't make it any worse." Investigating Developers' Security Behavior with AI Assistants in a Password Storage StudyabstractPast research showed that software developers often require explicit instructions to implement security measures. With the rapid rise of AI assistant tools such as ChatGPT, it remains unclear whether AI assistance supports or undermines secure practices, whether explicit security instructions are still essential, and how developers behave without guidance. To investigate these research questions, we conducted a qualitative lab study with 21 computer science students and a quantitative online study with 80 freelance developers. We focused on secure password storage and asked participants to implement registration logic under four conditions: without instructions, with AI assistance, with security instructions, or with both AI assistance and security instructions. Our study reveals a clear behavioral shift: In our task, many participants relied on AI-assisted code generation for security-related tasks, often prioritizing convenience over security. However, explicit security-focused instructions can redirect this behavior toward secure outcomes, demonstrating that AI tools alone are insufficient without targeted guidance. Asli Yardim, Raphael Serafini, Nadine Jost, Anna-Marie Ortloff, Joshua Gabriel Speckels, Alena Naiakshina |
CHI | 3 |