RobustBench CIFAR-10 Linf (AutoAttack).

RobustBench CIFAR-10 benchmark under Linf eps=8/255 AutoAttack. Framed as attack success rate against defended models (100 - robust accuracy).

Best published scores.

No results indexed yet — be the first to submit a score.

Primary

Attack Success Rate · higher is better

Have a score that beats
this table?

Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.

• 01A public checkpoint or API endpoint
• 02A reproduction script with frozen commit + seed
• 03Declared evaluation environment (Python, deps)
• 04One row per metric declared by this dataset
• 05A contact so we can follow up on discrepancies