PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xiao, Zhu, Yiming, Huang, Yifan, Zhang, Wei, He, Yingzhe, Shi, Jie, Hu, Xiaolin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Defending against Patch-Based and Texture-Based Adversarial Attacks with Spectral Decomposition
by: Zhang, Wei, et al.
Published: (2026)
by: Zhang, Wei, et al.
Published: (2026)
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
by: Li, Xiao, et al.
Published: (2024)
by: Li, Xiao, et al.
Published: (2024)
Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025)
by: Bai, Xingjian, et al.
Published: (2025)
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
by: Fang, Junbin, et al.
Published: (2023)
by: Fang, Junbin, et al.
Published: (2023)
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)
In-distribution adversarial attacks on object recognition models using gradient-free search
by: Madan, Spandan, et al.
Published: (2021)
by: Madan, Spandan, et al.
Published: (2021)
Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks
by: Yi, Xin, et al.
Published: (2025)
by: Yi, Xin, et al.
Published: (2025)
Trainwreck: A damaging adversarial attack on image classifiers
by: Zahálka, Jan
Published: (2023)
by: Zahálka, Jan
Published: (2023)
Towards more transferable adversarial attack in black-box manner
by: Lei, Chun Tong, et al.
Published: (2025)
by: Lei, Chun Tong, et al.
Published: (2025)
SA-Attack: Speed-adaptive stealthy adversarial attack on trajectory prediction
by: Yin, Huilin, et al.
Published: (2024)
by: Yin, Huilin, et al.
Published: (2024)
Sparse patches adversarial attacks via extrapolating point-wise information
by: Nemcovsky, Yaniv, et al.
Published: (2024)
by: Nemcovsky, Yaniv, et al.
Published: (2024)
Network transferability of adversarial patches in real-time object detection
by: Bayer, Jens, et al.
Published: (2024)
by: Bayer, Jens, et al.
Published: (2024)
Anisotropic Pooling for LUT-realizable CNN Image Restoration
by: Zhang, Xi, et al.
Published: (2025)
by: Zhang, Xi, 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)
Multi-style conversion for semantic segmentation of lesions in fundus images by adversarial attacks
by: Playout, Clément, et al.
Published: (2024)
by: Playout, Clément, et al.
Published: (2024)
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks
by: Agnihotri, Shashank, et al.
Published: (2023)
by: Agnihotri, Shashank, et al.
Published: (2023)
LoRA Patching: Exposing the Fragility of Proactive Defenses against Deepfakes
by: Qu, Zuomin, et al.
Published: (2025)
by: Qu, Zuomin, et al.
Published: (2025)
Improving behavior based authentication against adversarial attack using XAI
by: Qin, Dong, et al.
Published: (2024)
by: Qin, Dong, et al.
Published: (2024)
Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement
by: Yuan, Zheng, et al.
Published: (2024)
by: Yuan, Zheng, et al.
Published: (2024)
Partial train and isolate, mitigate backdoor attack
by: Li, Yong, et al.
Published: (2024)
by: Li, Yong, 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)
Blending adversarial training and representation-conditional purification via aggregation improves adversarial robustness
by: Ballarin, Emanuele, et al.
Published: (2023)
by: Ballarin, Emanuele, et al.
Published: (2023)
Fixed-point graph convolutional networks against adversarial attacks
by: Khan, Shakib, et al.
Published: (2025)
by: Khan, Shakib, et al.
Published: (2025)
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model
by: Zhu, Zhiyu, et al.
Published: (2024)
by: Zhu, Zhiyu, et al.
Published: (2024)
FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection
by: Lunghi, Daniele, et al.
Published: (2025)
by: Lunghi, Daniele, et al.
Published: (2025)
Improving vulnerability type prediction and line-level detection via adversarial training-based data augmentation and multi-task learning
by: Chen, Siyu, et al.
Published: (2025)
by: Chen, Siyu, et al.
Published: (2025)
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
by: Jing, Lihua, et al.
Published: (2024)
by: Jing, Lihua, et al.
Published: (2024)
PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation
by: Huang, Qihan, et al.
Published: (2024)
by: Huang, Qihan, et al.
Published: (2024)
Underwater object detection in sonar imagery with detection transformer and Zero-shot neural architecture search
by: Gu, XiaoTong, et al.
Published: (2025)
by: Gu, XiaoTong, et al.
Published: (2025)
AdvFAS: A robust face anti-spoofing framework against adversarial examples
by: Chen, Jiawei, et al.
Published: (2023)
by: Chen, Jiawei, et al.
Published: (2023)
CL-CaGAN: Capsule differential adversarial continuous learning for cross-domain hyperspectral anomaly detection
by: Wang, Jianing, et al.
Published: (2025)
by: Wang, Jianing, 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 mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
by: Bastounis, Alexander, et al.
Published: (2021)
by: Bastounis, Alexander, et al.
Published: (2021)
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
by: Ye, Wei, et al.
Published: (2024)
by: Ye, Wei, et al.
Published: (2024)
BUS:Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization
by: Jiang, Chaoya, et al.
Published: (2023)
by: Jiang, Chaoya, et al.
Published: (2023)
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images
by: Rasaee, Hamza, et al.
Published: (2021)
by: Rasaee, Hamza, et al.
Published: (2021)
Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving
by: Cao, Yuxin, et al.
Published: (2025)
by: Cao, Yuxin, et al.
Published: (2025)
Object-oriented backdoor attack against image captioning
by: Li, Meiling, et al.
Published: (2024)
by: Li, Meiling, et al.
Published: (2024)
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)
DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency Model
by: Zhong, Yiming, et al.
Published: (2024)
by: Zhong, Yiming, et al.
Published: (2024)
Similar Items
-
Defending against Patch-Based and Texture-Based Adversarial Attacks with Spectral Decomposition
by: Zhang, Wei, et al.
Published: (2026) -
ADBM: Adversarial diffusion bridge model for reliable adversarial purification
by: Li, Xiao, et al.
Published: (2024) -
Wasserstein distributional adversarial training for deep neural networks
by: Bai, Xingjian, et al.
Published: (2025) -
State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
by: Fang, Junbin, et al.
Published: (2023) -
Patch is Enough: Naturalistic Adversarial Patch against Vision-Language Pre-training Models
by: Kong, Dehong, et al.
Published: (2024)