Presents a new theoretically grounded hard-label attack with zero-query initialization and low-complexity optimization that outperforms prior methods across image datasets and models.
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Low-Cost Hard-Label Adversarial Attack with Theoretical Foundations
Presents a new theoretically grounded hard-label attack with zero-query initialization and low-complexity optimization that outperforms prior methods across image datasets and models.