Talks·25 min
Aaron Kaplan · Sebastian Wagner · Jürgen Brandl
Shows where LLM-generated code for IntelMQ bots works and fails, and how feedback loops and documentation help.
aimachine-learningopen-source+2
DEF CON 34 talks are here: 354 talks, summarized and searchable.
Browse DEF CON 343 talks in the archive.
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Talks·25 min
Aaron Kaplan · Sebastian Wagner · Jürgen Brandl
Shows where LLM-generated code for IntelMQ bots works and fails, and how feedback loops and documentation help.
Talks·28 min
Aaron Kaplan
Shows how a local language model is fine-tuned for threat intelligence, covering benchmarks, data gaps and MISP integration.