Improving Fast Adversarial Training Paradigm: An Example Taxonomy Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Gui, Jie, Jiang, Chengze, Dong, Minjing, Tong, Kun, Shi, Xinli, Tang, Yuan Yan, Tao, Dacheng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Fast Adversarial Training via Self-Knowledge Guidance
by: Jiang, Chengze, et al.
Published: (2024)
by: Jiang, Chengze, et al.
Published: (2024)
Diversifying Counterattacks: Orthogonal Exploration for Robust CLIP Inference
by: Jiang, Chengze, et al.
Published: (2025)
by: Jiang, Chengze, et al.
Published: (2025)
Survey of Adversarial Robustness in Multimodal Large Language Models
by: Jiang, Chengze, et al.
Published: (2025)
by: Jiang, Chengze, et al.
Published: (2025)
Revisiting Adversarial Training under Hyperspectral Image
by: Zhang, Weihua, et al.
Published: (2025)
by: Zhang, Weihua, et al.
Published: (2025)
Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning
by: Bi, Yuquan, et al.
Published: (2025)
by: Bi, Yuquan, et al.
Published: (2025)
ColorVein: Colorful Cancelable Vein Biometrics
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation
by: Shi, Yuheng, et al.
Published: (2024)
by: Shi, Yuheng, et al.
Published: (2024)
Deep Learning-Based Point Cloud Registration: A Comprehensive Survey and Taxonomy
by: Zhang, Yu-Xin, et al.
Published: (2024)
by: Zhang, Yu-Xin, et al.
Published: (2024)
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
by: Mei, Hefei, et al.
Published: (2024)
by: Mei, Hefei, et al.
Published: (2024)
A Survey on Small Sample Imbalance Problem: Metrics, Feature Analysis, and Solutions
by: Zhao, Shuxian, et al.
Published: (2025)
by: Zhao, Shuxian, et al.
Published: (2025)
Improving the Transferability of Adversarial Examples by Feature Augmentation
by: Wang, Donghua, et al.
Published: (2024)
by: Wang, Donghua, et al.
Published: (2024)
Revisiting Adversarial Training under Long-Tailed Distributions
by: Yue, Xinli, et al.
Published: (2024)
by: Yue, Xinli, et al.
Published: (2024)
Exploring the Coordination of Frequency and Attention in Masked Image Modeling
by: Gui, Jie, et al.
Published: (2022)
by: Gui, Jie, et al.
Published: (2022)
Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model
by: Shi, Yuheng, et al.
Published: (2024)
by: Shi, Yuheng, et al.
Published: (2024)
Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
by: Chen, Tuo, et al.
Published: (2025)
by: Chen, Tuo, et al.
Published: (2025)
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
by: Tao, Linwei, et al.
Published: (2024)
by: Tao, Linwei, et al.
Published: (2024)
Feature Clipping for Uncertainty Calibration
by: Tao, Linwei, et al.
Published: (2024)
by: Tao, Linwei, et al.
Published: (2024)
SteelDefectX: A Multi-Form Vision-Language Dataset and Benchmark for Steel Surface Defect Analysis
by: Zhao, Shuxian, et al.
Published: (2026)
by: Zhao, Shuxian, et al.
Published: (2026)
A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning
by: Cong, Xiaofeng, et al.
Published: (2024)
by: Cong, Xiaofeng, et al.
Published: (2024)
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
by: Yang, Bo, et al.
Published: (2024)
by: Yang, Bo, et al.
Published: (2024)
Do Counterfactual Examples Complicate Adversarial Training?
by: Yeats, Eric, et al.
Published: (2024)
by: Yeats, Eric, et al.
Published: (2024)
VSSD: Vision Mamba with Non-Causal State Space Duality
by: Shi, Yuheng, et al.
Published: (2024)
by: Shi, Yuheng, et al.
Published: (2024)
Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception
by: Shi, Yuheng, et al.
Published: (2025)
by: Shi, Yuheng, et al.
Published: (2025)
Enhancing Transferability of Targeted Adversarial Examples: A Self-Universal Perspective
by: Peng, Bowen, et al.
Published: (2024)
by: Peng, Bowen, et al.
Published: (2024)
Adversarial Examples in Environment Perception for Automated Driving (Review)
by: Yan, Jun, et al.
Published: (2025)
by: Yan, Jun, et al.
Published: (2025)
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)
by: Zhu, Younan, et al.
Published: (2025)
Beyond One-Hot Labels: Semantic Mixing for Model Calibration
by: Luo, Haoyang, et al.
Published: (2025)
by: Luo, Haoyang, et al.
Published: (2025)
Learn to Think: Improving Multimodal Reasoning through Vision-Aware Self-Improvement Training
by: Zhong, Qihuang, et al.
Published: (2026)
by: Zhong, Qihuang, et al.
Published: (2026)
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective
by: Wang, Zhaoxin, et al.
Published: (2024)
by: Wang, Zhaoxin, et al.
Published: (2024)
Adversarial Examples Detection with Bayesian Neural Network
by: Li, Yao, et al.
Published: (2021)
by: Li, Yao, et al.
Published: (2021)
On Geometry-Enhanced Parameter-Efficient Fine-Tuning for 3D Scene Segmentation
by: Tang, Liyao, et al.
Published: (2025)
by: Tang, Liyao, et al.
Published: (2025)
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025)
by: Wu, Wenyuan, et al.
Published: (2025)
Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023)
by: Li, Qizhang, et al.
Published: (2023)
ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models
by: Huang, Chihan, et al.
Published: (2025)
by: Huang, Chihan, et al.
Published: (2025)
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
by: Li, Shuai, et al.
Published: (2024)
by: Li, Shuai, et al.
Published: (2024)
Reversing Skin Cancer Adversarial Examples by Multiscale Diffusive and Denoising Aggregation Mechanism
by: Wang, Yongwei, et al.
Published: (2022)
by: Wang, Yongwei, et al.
Published: (2022)
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
by: Wang, Yichen, et al.
Published: (2024)
by: Wang, Yichen, et al.
Published: (2024)
UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy
by: Xu, Yicheng, et al.
Published: (2026)
by: Xu, Yicheng, et al.
Published: (2026)
Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations
by: Zhang, Haimin, et al.
Published: (2021)
by: Zhang, Haimin, et al.
Published: (2021)
Adversarial Examples Are Not Real Features
by: Li, Ang, et al.
Published: (2023)
by: Li, Ang, et al.
Published: (2023)
Similar Items
-
Improving Fast Adversarial Training via Self-Knowledge Guidance
by: Jiang, Chengze, et al.
Published: (2024) -
Diversifying Counterattacks: Orthogonal Exploration for Robust CLIP Inference
by: Jiang, Chengze, et al.
Published: (2025) -
Survey of Adversarial Robustness in Multimodal Large Language Models
by: Jiang, Chengze, et al.
Published: (2025) -
Revisiting Adversarial Training under Hyperspectral Image
by: Zhang, Weihua, et al.
Published: (2025) -
Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning
by: Bi, Yuquan, et al.
Published: (2025)