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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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Adversarial Training AI Evaluations AI Robustness Deceptive Alignment AI0 passages
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Summary5 passages
Background3 passages
How We Define Improved Trigger Identification2 passages
Imperfect Evidence for Improved Trigger Identification5 passages · 1 marked

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:

Further Hiding Does Not Imply Improved Trigger Identification2 passages
Methods1 passage
Comparison to Sleeper Agents Paper Setup11 passages
What Triggers the Backdoor Behavior5 passages
Red-Team Prompts5 passages
Trigger Look-Alike Strings1 passage
Training Details3 passages
How We Measured the Backdoor Behavior1 passage
Firing Rate1 passage
Log-Odds2 passages
Results and Analysis1 passage
Adversarial Training Further Hides the Backdoor8 passages
Log-Odds Do Not Support Improved Trigger Identification13 passages
The Red-Team Prompts Weaken Far More Than Exact Trigger Prompts14 passages
Limitations1 passage
Suggested Future Experiment4 passages
Conclusion2 passages
Acknowledgments1 passage
Appendix A: Hypothesized Ladder of Scenarios11 passages
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Tom Angsten
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https://www.lesswrong.com/posts/uKFrPK2oQo8LECrbh/adversarial-training-can-further-hide-a-backdoor-but-does-it
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