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cs.LG2026
ROGUE: Evaluating Corrigibility Failures in Frontier Computer-Use Agents
Jeremy Tien, Abishek Anand, Yu-Rou Tuan +3
As AI agents are increasingly deployed in real personal and corporate settings (email accounts, development workflows, company databases, etc.), safety considerations surrounding t…
cs.LG2024★ 2 cited
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
Zhichao Hou, Weizhi Gao, Yuchen Shen +2
Transformer-based architectures have dominated various areas of machine learning in recent years. In this paper, we introduce a novel robust attention mechanism designed to enhance…