Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yichen, Chou, Yuxuan, Zhou, Ziqi, Zhang, Hangtao, Wan, Wei, Hu, Shengshan, Li, Minghui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SegTrans: Transferable Adversarial Examples for Segmentation Models
by: Song, Yufei, et al.
Published: (2025)
by: Song, Yufei, et al.
Published: (2025)
Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
by: Zhu, Zihui, et al.
Published: (2026)
by: Zhu, Zihui, et al.
Published: (2026)
Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models
by: Yan, Shihui, et al.
Published: (2026)
by: Yan, Shihui, et al.
Published: (2026)
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving
by: Zhang, Hangtao, et al.
Published: (2024)
by: Zhang, Hangtao, et al.
Published: (2024)
Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
by: Song, Yufei, et al.
Published: (2026)
by: Song, Yufei, et al.
Published: (2026)
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation
by: Song, Yufei, et al.
Published: (2024)
by: Song, Yufei, et al.
Published: (2024)
Dual-branch Robust Unlearnable Examples
by: Wang, Xianlong, et al.
Published: (2026)
by: Wang, Xianlong, et al.
Published: (2026)
ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents
by: Wang, Yichen, et al.
Published: (2025)
by: Wang, Yichen, et al.
Published: (2025)
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
by: Zhou, Ziqi, et al.
Published: (2024)
by: Zhou, Ziqi, et al.
Published: (2024)
Transferable Adversarial Facial Images for Privacy Protection
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
by: Wang, Xianlong, et al.
Published: (2024)
by: Wang, Xianlong, et al.
Published: (2024)
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing
by: Zhou, Ziqi, et al.
Published: (2025)
by: Zhou, Ziqi, et al.
Published: (2025)
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability
by: Zhang, Yechao, et al.
Published: (2023)
by: Zhang, Yechao, et al.
Published: (2023)
Test-Time Backdoor Detection for Object Detection Models
by: Zhang, Hangtao, et al.
Published: (2025)
by: Zhang, Hangtao, 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)
Detecting and Corrupting Convolution-based Unlearnable Examples
by: Li, Minghui, et al.
Published: (2023)
by: Li, Minghui, et al.
Published: (2023)
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
by: Zhang, Yechao, et al.
Published: (2025)
by: Zhang, Yechao, et al.
Published: (2025)
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
by: Hu, Jiacong, et al.
Published: (2024)
by: Hu, Jiacong, et al.
Published: (2024)
Towards Real-World Deepfake Detection: A Diverse In-the-wild Dataset of Forgery Faces
by: Shi, Junyu, et al.
Published: (2025)
by: Shi, Junyu, et al.
Published: (2025)
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
by: Yang, Bo, et al.
Published: (2024)
by: Yang, Bo, et al.
Published: (2024)
A Single Set of Adversarial Clothes Breaks Multiple Defense Methods in the Physical World
by: Zhang, Wei, et al.
Published: (2025)
by: Zhang, Wei, 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)
Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023)
by: Li, Qizhang, et al.
Published: (2023)
Improving Adversarial Robustness via Decoupled Visual Representation Masking
by: Liu, Decheng, et al.
Published: (2024)
by: Liu, Decheng, et al.
Published: (2024)
Adversarial Examples in the Physical World: A Survey
by: Wang, Jiakai, et al.
Published: (2023)
by: Wang, Jiakai, et al.
Published: (2023)
Imperceptible Adversarial Examples in the Physical World
by: Xu, Weilin, et al.
Published: (2024)
by: Xu, Weilin, et al.
Published: (2024)
Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration
by: Zhou, Fengfan, et al.
Published: (2023)
by: Zhou, Fengfan, et al.
Published: (2023)
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
by: Xue, Yuhao, et al.
Published: (2025)
by: Xue, Yuhao, et al.
Published: (2025)
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2
by: Zhou, Ziqi, et al.
Published: (2025)
by: Zhou, Ziqi, et al.
Published: (2025)
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
by: Li, Jian-Wei, et al.
Published: (2025)
by: Li, Jian-Wei, et al.
Published: (2025)
Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
by: Shaar, Eitan, et al.
Published: (2026)
by: Shaar, Eitan, et al.
Published: (2026)
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability
by: Weng, Juanjuan, et al.
Published: (2024)
by: Weng, Juanjuan, et al.
Published: (2024)
Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
by: Wang, Yanyun, et al.
Published: (2026)
by: Wang, Yanyun, et al.
Published: (2026)
Adversarial Examples Are Not Real Features
by: Li, Ang, et al.
Published: (2023)
by: Li, Ang, et al.
Published: (2023)
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 White-box Robustness of Pre-processing Defenses via Joint Adversarial Training
by: Zhou, Dawei, et al.
Published: (2021)
by: Zhou, Dawei, et al.
Published: (2021)
Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022)
by: Fan, Mingyuan, et al.
Published: (2022)
UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models
by: Pan, Hewen, et al.
Published: (2025)
by: Pan, Hewen, 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)
AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
by: Zhou, Nuoyan, et al.
Published: (2024)
by: Zhou, Nuoyan, et al.
Published: (2024)
Similar Items
-
SegTrans: Transferable Adversarial Examples for Segmentation Models
by: Song, Yufei, et al.
Published: (2025) -
Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
by: Zhu, Zihui, et al.
Published: (2026) -
Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models
by: Yan, Shihui, et al.
Published: (2026) -
Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving
by: Zhang, Hangtao, et al.
Published: (2024) -
Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
by: Song, Yufei, et al.
Published: (2026)