Αποτελέσματα Αναζήτησης
We propose to use an ensemble of four diverse attacks to reliably evaluate robustness: APGD-CE, our new step size-free version of PGD on the cross-entropy, APGD-DLR, our new step size-free version of PGD on the new DLR loss, FAB, which minimizes the norm of the adversarial perturbations (Croce & Hein, 2019),
30 Μαρ 2020 · Attack tab: Set up automated attacks on wilds, barb camps or other cities. Transport tab : Set up trade routes between cities to automatically send resources. Train tab : Automatically train troops. Throne tab: Upgrade, salvage, organise and compare throne room items.
4 Μαρ 2014 · Attack tab: Set up automated attacks on wilds, barb camps or other cities. Transport tab : Set up trade routes between cities to automatically send resources. Raid tab : Automatically resets your raid timers. Train tab : Automatically train troops, including ascension troops.
We here list adversarial defenses, for many threat models, recently proposed and evaluated with the standard version of AutoAttack (AA), including. Square Attack (5000 queries). See below for the more expensive AutoAttack+ (AA+) and more options.
Towards this target, we propose a parameter-free Adaptive Auto Attack (A 3) evaluation method. We apply A 3 to over 50 widely-used defense models. By consuming much fewer iterations than existing methods, i.e, 1/10 on average (10x speed up), we achieve lower robust accuracy in all cases but one.
10 Μαρ 2022 · View a PDF of the paper titled Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack, by Ye Liu and 5 other authors. Defense models against adversarial attacks have grown significantly, but the lack of practical evaluation methods has hindered progress.
We combine our two parameter-free versions of PGD, APGDCE and APGDDLR, with two existing complemen-tary attacks, FAB (Croce & Hein, 2020) and Square Attack (Andriushchenko et al., 2020), to form the ensemble AutoAt-tack, which is automatic in the sense that it does not require to specify any free parameters1.
