AI RESEARCH
Position: Adversarial ML for LLMs Is Not Making Any Progress
arXiv CS.LG
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ArXi:2502.02260v2 Announce Type: replace In the past decade, considerable research effort has been devoted to securing machine learning (ML) models that operate in adversarial settings. Yet, progress has been slow even for simple "toy" problems (e.g., robustness to small adversarial perturbations) and is often hindered by non-rigorous evaluations. Today, adversarial ML research has shifted towards studying larger, general-purpose language models.