Season: Spectrum-Aware Orthogonal Gradient Refinement for Transfer-Based Adversarial Attacks

arXiv:2608.04441 · cs.CV, cs.CR · Submitted 2026-08-05 · Read on arXiv

Tianyi Wang, Zhenghao Gao, Shengjie Xu

cs.CV, cs.CR

Submitted: 2026-08-05

Comments: 6 pages

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

Terminology

Transferability — 21× in this paper · explained in 5 episodes
Transformer — 9× in this paper · explained in 2 episodes
Transformers — 9× in this paper · explained in 2 episodes
Orthogonal Projection — 7× in this paper · explained in 2 episodes
Adversarial Examples — 6× in this paper · explained in 2 episodes
Decoupling — 5× in this paper · explained in 2 episodes
Transfer Success Rate — 4× in this paper
Conference on Computer Vision and Pattern Recognition — 3× in this paper
Core — 3× in this paper · explained in 2 episodes
Robustness — 3× in this paper · explained in 6 episodes
Spectral Bias — 3× in this paper · explained in 2 episodes
Surrogate Model — 3× in this paper · explained in 3 episodes
Ablation — 2× in this paper · explained in 1 episode
Adversarial Transferability — 2× in this paper · explained in 2 episodes
Benchmark — 2× in this paper · explained in 2 episodes
CVF International Conference on Computer Vision — 2× in this paper
Generalization — 2× in this paper · explained in 14 episodes
Ablation Study — 1× in this paper · explained in 3 episodes
Accuracy — 1× in this paper · explained in 1 episode
Disentanglement — 1× in this paper · explained in 2 episodes
Feature Importance — 1× in this paper · explained in 2 episodes
International Conference on Learning Representations — 1× in this paper
Overfitting — 1× in this paper · explained in 2 episodes
Preconditioning — 1× in this paper · explained in 2 episodes

Terminology

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