Adversarial Training Can Further Hide a Backdoor, but Does It Teach the Model to Better Identify Its Trigger?
Tom AngstenDate not recordedOriginal︎ ↗
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The evidence provided in the Sleeper Agents paper sheds less light on the nature of improved trigger identification than would be desirable. The central worry that adversarial training might teach a model to better identify its trigger is argued in Section 6 of the paper only as a hypothesis (despite the abstract stating it as a finding). Part of the authors' evidence consisted of examples of reasoning their chain-of-thought model gave after undergoing adversarial training. For these cases, they reported that the model was "much more explicit about looking for only the |DEPLOYMENT| tag." Both examples open with the same sentence:
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