DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Fengpeng, Li, Kemou, Wu, Haiwei, Tian, Jinyu, Zhou, Jiantao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection
by: Tu, Zhilin, et al.
Published: (2026)
by: Tu, Zhilin, et al.
Published: (2026)
Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
by: He, Yuhao, et al.
Published: (2025)
by: He, Yuhao, et al.
Published: (2025)
AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models
by: Li, Fengpeng, et al.
Published: (2026)
by: Li, Fengpeng, et al.
Published: (2026)
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
by: He, Yuhao, et al.
Published: (2024)
by: He, Yuhao, et al.
Published: (2024)
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
by: Hu, Zhaozhe, et al.
Published: (2024)
by: Hu, Zhaozhe, et al.
Published: (2024)
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
by: Li, Zheng, et al.
Published: (2025)
by: Li, Zheng, et al.
Published: (2025)
Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
by: Wang, Ruoqi, et al.
Published: (2025)
by: Wang, Ruoqi, et al.
Published: (2025)
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
by: Liu, Jun, et al.
Published: (2024)
by: Liu, Jun, et al.
Published: (2024)
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs
by: Chen, Lu, et al.
Published: (2025)
by: Chen, Lu, et al.
Published: (2025)
Vision Transformer-based Adversarial Domain Adaptation
by: Li, Yahan, et al.
Published: (2024)
by: Li, Yahan, et al.
Published: (2024)
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge
by: Wong, Kahim, et al.
Published: (2025)
by: Wong, Kahim, et al.
Published: (2025)
RegMix: Adversarial Mutual and Generalization Regularization for Enhancing DNN Robustness
by: Liu, Zhenyu, et al.
Published: (2025)
by: Liu, Zhenyu, et al.
Published: (2025)
Improving Adversarial Robustness of Attribution via Implicit Regularization
by: Mehrpanah, Amir, et al.
Published: (2026)
by: Mehrpanah, Amir, et al.
Published: (2026)
Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)
by: Geng, Cong, et al.
Published: (2024)
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation
by: Chen, Xiaohui, et al.
Published: (2024)
by: Chen, Xiaohui, et al.
Published: (2024)
Generalizable Synthetic Image Detection via Language-guided Contrastive Learning
by: Wu, Haiwei, et al.
Published: (2023)
by: Wu, Haiwei, et al.
Published: (2023)
Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking
by: Wang, Shiao, et al.
Published: (2026)
by: Wang, Shiao, et al.
Published: (2026)
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
by: Zhang, Yechao, et al.
Published: (2025)
by: Zhang, Yechao, et al.
Published: (2025)
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
by: Peng, Heqi, et al.
Published: (2024)
by: Peng, Heqi, et al.
Published: (2024)
Rethinking Image Forgery Detection via Soft Contrastive Learning and Unsupervised Clustering
by: Wu, Haiwei, et al.
Published: (2023)
by: Wu, Haiwei, et al.
Published: (2023)
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Features
by: Pan, Hengyue, et al.
Published: (2024)
by: Pan, Hengyue, et al.
Published: (2024)
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
TRIX- Trading Adversarial Fairness via Mixed Adversarial Training
by: Medi, Tejaswini, et al.
Published: (2025)
by: Medi, Tejaswini, et al.
Published: (2025)
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
by: Xu, Yibo, et al.
Published: (2025)
by: Xu, Yibo, et al.
Published: (2025)
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
by: Yan, YangTian, et al.
Published: (2025)
by: Yan, YangTian, et al.
Published: (2025)
GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
by: Oganov, Aleksandr, et al.
Published: (2025)
by: Oganov, Aleksandr, et al.
Published: (2025)
DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation
by: Wang, Yunjuan, et al.
Published: (2024)
by: Wang, Yunjuan, et al.
Published: (2024)
Revisiting Semi-supervised Adversarial Robustness via Noise-aware Online Robust Distillation
by: Wu, Tsung-Han, et al.
Published: (2024)
by: Wu, Tsung-Han, et al.
Published: (2024)
Adversarial Data Augmentation for Single Domain Generalization via Lyapunov Exponent-Guided Optimization
by: Zhang, Zuyu, et al.
Published: (2025)
by: Zhang, Zuyu, et al.
Published: (2025)
ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement
by: Wong, Kahim, et al.
Published: (2025)
by: Wong, Kahim, et al.
Published: (2025)
Contrastive Adversarial Training for Unsupervised Domain Adaptation
by: Chen, Jiahong, et al.
Published: (2024)
by: Chen, Jiahong, et al.
Published: (2024)
Sparse Representations Improve Adversarial Robustness of Neural Network Classifiers
by: Steunou, Killian, et al.
Published: (2025)
by: Steunou, Killian, et al.
Published: (2025)
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training
by: Dong, Junhao, et al.
Published: (2024)
by: Dong, Junhao, et al.
Published: (2024)
Latent Domain Modeling Improves Robustness to Geographic Shifts
by: Crasto, Ruth, et al.
Published: (2025)
by: Crasto, Ruth, et al.
Published: (2025)
Improving Generative Adversarial Networks with Self-Distillation
by: Nowinowski, Antoni, et al.
Published: (2026)
by: Nowinowski, Antoni, et al.
Published: (2026)
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
by: Wang, Siqi, et al.
Published: (2025)
by: Wang, Siqi, et al.
Published: (2025)
Improving Adversarial Transferability via Model Alignment
by: Ma, Avery, et al.
Published: (2023)
by: Ma, Avery, et al.
Published: (2023)
Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training
by: Zhang, Jiacheng, et al.
Published: (2024)
by: Zhang, Jiacheng, et al.
Published: (2024)
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
by: Fakorede, Olukorede, et al.
Published: (2024)
by: Fakorede, Olukorede, et al.
Published: (2024)
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
by: Zhi, Hongxin, et al.
Published: (2025)
by: Zhi, Hongxin, et al.
Published: (2025)
Similar Items
-
FeatDistill: A Feature Distillation Enhanced Multi-Expert Ensemble Framework for Robust AI-generated Image Detection
by: Tu, Zhilin, et al.
Published: (2026) -
Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
by: He, Yuhao, et al.
Published: (2025) -
AEGIS: Adversarial Target-Guided Retention-Data-Free Robust Concept Erasure from Diffusion Models
by: Li, Fengpeng, et al.
Published: (2026) -
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization
by: He, Yuhao, et al.
Published: (2024) -
MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
by: Hu, Zhaozhe, et al.
Published: (2024)