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AI Safety & Reliability, Responsible Computing, and Efficient ML

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Czardas  updated a collection about 14 hours ago
Rubrics as an Attack Surface (RIPD)
Czardas  updated a collection about 14 hours ago
Rubrics as an Attack Surface (RIPD)
Czardas  updated a collection about 14 hours ago
Rubrics as an Attack Surface (RIPD)
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ZD Lab @ UNC–Chapel Hill

Our research areas include:

  • AI Safety & Reliability — risk control, uncertainty quantification, ML security
  • Responsible Computing — societal impacts and human–AI interaction
  • Efficient ML — efficient reasoning and test-time scaling

Collections 1

Rubrics as an Attack Surface (RIPD)
This collection releases the official artifacts accompanying “Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges.”
Rubrics as an Attack Surface (RIPD)
This collection releases the official artifacts accompanying “Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges.”