Saved in:
| Main Authors: | Zhang, Wei, Chang, Xinyu, Li, Xiao, Zhu, Yiming, Hu, Xiaolin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.10715 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection
by: Li, Xiao, et al.
Published: (2025)
by: Li, Xiao, et al.
Published: (2025)
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
by: Strack, Lukas, et al.
Published: (2023)
by: Strack, Lukas, et al.
Published: (2023)
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
by: Jing, Lihua, et al.
Published: (2024)
by: Jing, Lihua, et al.
Published: (2024)
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023)
by: Kang, Caixin, et al.
Published: (2023)
Defending Deepfake via Texture Feature Perturbation
by: Zhang, Xiao, et al.
Published: (2025)
by: Zhang, Xiao, et al.
Published: (2025)
Defending Object Detectors against Patch Attacks with Out-of-Distribution Smoothing
by: Feng, Ryan, et al.
Published: (2022)
by: Feng, Ryan, et al.
Published: (2022)
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)
Towards Physically Realizable Adversarial Attenuation Patch against SAR Object Detection
by: Zhang, Yiming, et al.
Published: (2026)
by: Zhang, Yiming, et al.
Published: (2026)
PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
by: Long, Jiahuan, et al.
Published: (2025)
by: Long, Jiahuan, et al.
Published: (2025)
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
by: Miao, Boming, et al.
Published: (2024)
by: Miao, Boming, et al.
Published: (2024)
The Outline of Deception: Physical Adversarial Attacks on Traffic Signs Using Edge Patches
by: Ji, Haojie, et al.
Published: (2025)
by: Ji, Haojie, et al.
Published: (2025)
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, et al.
Published: (2024)
Concept-Based Masking: A Patch-Agnostic Defense Against Adversarial Patch Attacks
by: Mehrotra, Ayushi, et al.
Published: (2025)
by: Mehrotra, Ayushi, et al.
Published: (2025)
Defending Against Frequency-Based Attacks with Diffusion Models
by: Amerehi, Fatemeh, et al.
Published: (2025)
by: Amerehi, Fatemeh, et al.
Published: (2025)
Fight Fire with Fire: Combating Adversarial Patch Attacks using Pattern-randomized Defensive Patches
by: Feng, Jianan, et al.
Published: (2023)
by: Feng, Jianan, et al.
Published: (2023)
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
by: Cheng, Zhiyuan, et al.
Published: (2024)
by: Cheng, Zhiyuan, et al.
Published: (2024)
Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment
by: Jia, Xiaojun, et al.
Published: (2025)
by: Jia, Xiaojun, et al.
Published: (2025)
BadPatch: Diffusion-Based Generation of Physical Adversarial Patches
by: Wang, Zhixiang, et al.
Published: (2024)
by: Wang, Zhixiang, et al.
Published: (2024)
Adversarial Patch Attack for Ship Detection via Localized Augmentation
by: Liu, Chun, et al.
Published: (2025)
by: Liu, Chun, et al.
Published: (2025)
Infrared Adversarial Car Stickers
by: Zhu, Xiaopei, et al.
Published: (2024)
by: Zhu, Xiaopei, et al.
Published: (2024)
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
by: Na, Hyunsik, et al.
Published: (2025)
by: Na, Hyunsik, et al.
Published: (2025)
Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models
by: Kong, Dehong, et al.
Published: (2024)
by: Kong, Dehong, et al.
Published: (2024)
Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models
by: Zhang, Naifu, et al.
Published: (2025)
by: Zhang, Naifu, et al.
Published: (2025)
Enhancing Targeted Adversarial Attacks on Large Vision-Language Models via Intermediate Projector
by: Cao, Yiming, et al.
Published: (2025)
by: Cao, Yiming, et al.
Published: (2025)
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
by: Dutta, Subrat Kishore, et al.
Published: (2025)
by: Dutta, Subrat Kishore, et al.
Published: (2025)
PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
by: Zhong, Nan, et al.
Published: (2023)
by: Zhong, Nan, et al.
Published: (2023)
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024)
by: Wei, Xingxing, et al.
Published: (2024)
ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents
by: Wang, Yichen, et al.
Published: (2025)
by: Wang, Yichen, et al.
Published: (2025)
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
Generative Adversarial Patches for Physical Attacks on Cross-Modal Pedestrian Re-Identification
by: Su, Yue, et al.
Published: (2024)
by: Su, Yue, et al.
Published: (2024)
Time Traveling to Defend Against Adversarial Example Attacks in Image Classification
by: Etim, Anthony, et al.
Published: (2024)
by: Etim, Anthony, et al.
Published: (2024)
Language-Driven Anchors for Zero-Shot Adversarial Robustness
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
Texture- and Shape-based Adversarial Attacks for Overhead Image Vehicle Detection
by: Yeghiazaryan, Mikael, et al.
Published: (2024)
by: Yeghiazaryan, Mikael, et al.
Published: (2024)
Adversarial Patch for 3D Local Feature Extractor
by: Pao, Yu Wen, et al.
Published: (2024)
by: Pao, Yu Wen, et al.
Published: (2024)
RemedyGS: Defend 3D Gaussian Splatting against Computation Cost Attacks
by: Li, Yanping, et al.
Published: (2025)
by: Li, Yanping, et al.
Published: (2025)
Physical Adversarial Attack on Monocular Depth Estimation via Shape-Varying Patches
by: Zhao, Chenxing, et al.
Published: (2024)
by: Zhao, Chenxing, et al.
Published: (2024)
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks
by: Ye, Tian, et al.
Published: (2024)
by: Ye, Tian, et al.
Published: (2024)
Adversarial Training against Location-Optimized Adversarial Patches
by: Rao, Sukrut, et al.
Published: (2020)
by: Rao, Sukrut, et al.
Published: (2020)
Physical Adversarial Clothing Evades Visible-Thermal Detectors via Non-Overlapping RGB-T Pattern
by: Zhu, Xiaopei, et al.
Published: (2026)
by: Zhu, Xiaopei, et al.
Published: (2026)
Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach
by: Lin, Guixu, et al.
Published: (2025)
by: Lin, Guixu, et al.
Published: (2025)
Similar Items
-
PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection
by: Li, Xiao, et al.
Published: (2025) -
Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection
by: Strack, Lukas, et al.
Published: (2023) -
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
by: Jing, Lihua, et al.
Published: (2024) -
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023) -
Defending Deepfake via Texture Feature Perturbation
by: Zhang, Xiao, et al.
Published: (2025)