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cs.LG2026
Distillation Defenses Easily Break After Reinforcement Learning
Shidan Javaheri, Alexander Panfilov, Oliver Britton +2
Distillation attacks copy the reasoning capabilities of closed-source large language models, allowing bad actors to replicate state-of-the-art performance at low cost. Attackers sy…
cs.LG2026
Temporal Task Diversity: Inductive Biases Under Non-Stationarity in Synthetic Sequence Modelling
Afiq Abdillah Effiezal Aswadi, Oliver Britton, Ross Baker +1
Modern deep learning science often assumes that neural networks learn from a fixed data distribution. However, many practically important learning problems involve data distributio…