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cs.LG2024★ 1 cited
Predicting the Performance of Foundation Models via Agreement-on-the-Line
Rahul Saxena, Taeyoun Kim, Aman Mehra +3
Estimating the out-of-distribution performance in regimes where labels are scarce is critical to safely deploy foundation models. Recently, it was shown that ensembles of neural ne…
cs.CR2024★ 1 cited
Testing the Limits of Jailbreaking Defenses with the Purple Problem
Taeyoun Kim, Suhas Kotha, Aditi Raghunathan
The rise of "jailbreak" attacks on language models has led to a flurry of defenses aimed at preventing undesirable responses. We critically examine the two stages of the defense pi…