VanillaBench: The Hidden Accuracy Cost of Adversarial Robustness

arXiv:2607.12545 · cs.CR, cs.CV · Submitted 2026-07-14 · Read on arXiv

Niklas Bunzel

cs.CR, cs.CV

Submitted: 2026-07-14

Code: https://github.com/weiaicunzai/pytorch-cifar100

Project page: https://bunni90.github.io/robust-vs-vanilla.html

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 103× in this paper · explained in 1 episode
Robustness — 51× in this paper · explained in 5 episodes
Adversarial Training — 18× in this paper · explained in 1 episode
Adversarial Robustness — 16× in this paper · explained in 3 episodes
Benchmark — 12× in this paper · explained in 2 episodes
Adversarial Examples — 4× in this paper · explained in 2 episodes
Generative Model — 2× in this paper · explained in 2 episodes
Generative Models — 2× in this paper · explained in 2 episodes
Adversarial Attacks — 1× in this paper · explained in 1 episode
Diffusion Model — 1× in this paper · explained in 8 episodes
Diffusion Models — 1× in this paper · explained in 6 episodes
Distribution Shift — 1× in this paper · explained in 5 episodes
From the Papers with Code — 1× in this paper
Generalization — 1× in this paper · explained in 13 episodes
Hybrid Approach — 1× in this paper · explained in 4 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

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