T-MIFPE adaptively rescales logits with a theoretically motivated t* per attack phase to reduce floating-point gradient errors, edging out MIFPE in PGD robustness evaluation.
Explaining and harnessing adversarial examples
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Theoretical Analysis of Relative Errors in Gradient Computations for Adversarial Attacks with CE Loss
T-MIFPE adaptively rescales logits with a theoretically motivated t* per attack phase to reduce floating-point gradient errors, edging out MIFPE in PGD robustness evaluation.