Lujo Bauer
researcher ORCID ID = 0000-0002-8209-6792
Facts
10 properties- Instance of
- human
- Occupation
- researcher
- Employer
- Carnegie Mellon University (2003–present)[2]
- Educated at
- Princeton University[3]
- Doctoral advisor
- Andrew Appel[4]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Lujo Bauer
🔖 Identifiers · 10
- ORCID iD
- 0000-0002-8209-6792
- OpenAlex ID
- A5002939847as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- ACM Digital Library author ID
- 81350570444
- DBLP author ID
- 32/3440
- Dimensions author ID
- 014736077033.38
- Google Knowledge Graph ID
- /g/11f0zcjxzp
- Google Scholar author ID
- 5cJzDZEAAAAJ
- MR Author ID
- 791012
- Mathematics Genealogy Project ID
- 92990
- X (Twitter) username
- lujobauer (2010–present)
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 9
Accessorize to a Crime,
A General Framework for Adversarial Examples with Objectives,
Attributions for ML-based ICS Anomaly Detection: From Theory to Practice,
Can Unicorns Help Users Compare Crypto Key Fingerprints?,
(Do Not) Track Me Sometimes: Users’ Contextual Preferences for Web Tracking,
Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks,
Practical Recommendations for Stronger, More Usable Passwords Combining Minimum-strength, Minimum-length, and Blocklist Requirements,
Privacy expectations and preferences in an IoT world
+1 more
← Authored by 9
Accessorize to a Crime,
A General Framework for Adversarial Examples with Objectives,
Attributions for ML-based ICS Anomaly Detection: From Theory to Practice,
Can Unicorns Help Users Compare Crypto Key Fingerprints?,
(Do Not) Track Me Sometimes: Users’ Contextual Preferences for Web Tracking,
Fast, Lean, and Accurate: Modeling Password Guessability Using Neural Networks,
Practical Recommendations for Stronger, More Usable Passwords Combining Minimum-strength, Minimum-length, and Blocklist Requirements,
Privacy expectations and preferences in an IoT world
+1 more
Affiliated with 1
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