Nicolas Christin
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
- SOUPS3 editions2022–2025
on a stage with
all 23 in the filters
who talks about the same things
- Elijah Bouma-Sims3 talks
- Michelle L. Mazurek12 talks
- Yasemin Acar11 talks
- Daniel Votipka4 talks
- Nicolas Huaman4 talks
- Yaxing Yao5 talks
| title | conference | date |
|---|---|---|
| Misuse, Misreporting, Misinterpretation of Statistical Methods in Usable Privacy and... | SOUPS 2025 | 2025-08-10 |
Systematic review of 121 SOUPS papers over 20 years audits use of NHST and finds concrete failures: 23% use incorrect tests that ignore sample dependencies… | ||
| "It was honestly just gambling": Investigating the Experiences of Teenage | SOUPS 2024 | 2024-08-11 |
Multi-stage inductive content analysis of 1,676 Reddit posts identifies 1,409 posts (84%) meaningfully about crypto, with discussions peaking in 2021–22 after… | ||
| On recruiting and retaining users for security-sensitive longitudinal measurement... | SOUPS 2022 | 2022-08-07 |
Three case studies compare recruitment and retention for instrumented panels: one uses monetary payments ($30 + $10/month), one uses a cartoon home‑screen… | ||
| Design and Evaluation of a Data-Driven Password Meter | CHI 2017 | 2017-05-06 |
A client-side password meter combines compact neural networks to estimate guessability with a regression-weighted set of 21 characteristics that generate… | ||
| Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks | USENIX Security '16 | 2016-08-10 |
Neural networks generate password guesses that beat PCFGs and Markov models, often improving success by roughly 50% at high guess counts (e.g., 15%→22% at… | ||
| nothing matches | ||