Anchoring Adversarial Trajectories to Data Manifolds: A Bilevel Transfer Optimization Framework
cs.LG, cs.CR, cs.CV
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- Countering Adversarial Images using Input Transformations
- Back to Basics: Let Denoising Generative Models Denoise
- Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
- Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
- Ensemble Adversarial Training: Attacks and Defenses
- Boosting Adversarial Transferability through Enhanced Momentum
- Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
- Mitigating Adversarial Effects Through Randomization
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