130 citations · 182 across the 16 of their papers we have counts for
3 papers · 1 filter
Who's in Charge? Disempowerment Patterns in Real-World LLM Usage
Mrinank Sharma, Miles McCain, Raymond Douglas +1
Although AI assistants are now deeply embedded in society, there has been limited empirical study of how their usage affects human empowerment. We present the first large-scale emp…
Eliciting Harmful Capabilities by Fine-Tuning On Safeguarded Outputs
Jackson Kaunismaa, Avery Griffin, John Hughes +3
Model developers implement safeguards in frontier models to prevent misuse, for example, by employing classifiers to filter dangerous outputs. In this work, we demonstrate that eve…
Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks
Hoagy Cunningham, Jerry Wei, Zihan Wang +26
We introduce enhanced Constitutional Classifiers that deliver production-grade jailbreak robustness with dramatically reduced computational costs and refusal rates compared to prev…