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Shanghai Jiao Tong University
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Distinct error types in training data can be diagnosed and classified simultaneously, leading to significant improvements in model performance and debugging efficiency.
Stop building single-model defenses: aligning high-level features across generative architectures lets you defend against diverse threats, even from models you've never seen before.
