Nils Durner
Technologist with track record in generative AI, security & privacy.
About
Nils Durner is a technologist with 25+ years of hands-on work across the stack, from handheld devices to cloud services. His current focus is research and engineering in Generative AI applications as well as security- and privacy-enhancing systems, reflected in peer-reviewed publications, open-source contributions, and recognised product releases.
Contact
Publications
- “AI-assisted Process Visualization hands-on” (🇩🇪 “Prozessvisualisierung mit generativer KI im Praxistest”)
- “AI Attribution in Art: Perspectives for Software Engineers” – LinkedIn
- “Schon gezahlt? Sichere Integration von Online‑Bezahldienstleistern” – iX magazin 01/2010
- “Unerkannt. Anonymisierende Peer‑to‑Peer‑Netze im Überblick” (with Christian Grothoff & Nathan S. Evans) – iX magazin 09/2008 (bibtex); iX Special Fall 2008 (bibtex)
- “Vielleicht anonym? Die Enttarnung von StealthNet‑Nutzern” (with Christian Grothoff & Nathan S. Evans) – c't magazin 21/2007 (bibtex)
- “Vulnerability in Subversion ≤ 1.4.4” (with Christian Grothoff) – CVE‑2007‑3846
Talks
- “Intelligent Trust Services: Goals, Distractions & Road ahead in trustworthy AI” – ENISA Trust Services Forum CA Day 2024 (co‑authored & presented by Jörg Lenz)
- “Secure application development with AOP” – 2006 at the Colorado Research Institute for Security and Privacy, Denver (USA)
Projects
- Generative AI exploration
- Gen. AI Workbenches, LLM chatbots with integrations
- Aileen, awarded Honorable Mention in the Generative AI Agents Developer Contest by NVIDIA and LangChain
Older projects
- Various GNU projects (GNUnet, libextractor, libmicrohttpd, adjacent PlibC)
- PRISE App, a cloud encryption app for iPhone and iPad
- youRShare, research and red-team work on anonymous P2P
- Bootstrapping Peer‑to‑Peer Networks
Social media