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cs.CR2026
Exploring The Empirical Privacy Landscape of Synthetic Data
Zihao Zhao, Avi Schwarzschild, Casey Meehan +3
Methods for training language models on sensitive data differ in how they balance capability gains against the risk of leaking private information. In this paper, we present a cont…
cs.LG2026
When Should We Introduce Safety Interventions During Pretraining?
Dylan Sam, Sachin Goyal, Pratyush Maini +2
Prior work has shown that safety interventions applied during pretraining, such as removing and rephrasing harmful content, can substantially improve the robustness of the resultin…