An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
Fuente:
arXiv
Saved in:
| Main Authors: | Gong, Xueluan, Tian, Bowei, Xue, Meng, Wu, Yuan, Chen, Yanjiao, Wang, Qian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Megatron: Evasive Clean-Label Backdoor Attacks against Vision Transformer
by: Gong, Xueluan, et al.
Published: (2024)
by: Gong, Xueluan, et al.
Published: (2024)
Backdoor Attack with Sparse and Invisible Trigger
by: Gao, Yinghua, et al.
Published: (2023)
by: Gao, Yinghua, et al.
Published: (2023)
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
by: Li, Ziqiang, et al.
Published: (2023)
by: Li, Ziqiang, et al.
Published: (2023)
BadViM: Backdoor Attack against Vision Mamba
by: Wu, Yinghao, et al.
Published: (2025)
by: Wu, Yinghao, et al.
Published: (2025)
Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)
by: Jiang, Wenbo, et al.
Published: (2024)
Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
by: Li, Boheng, et al.
Published: (2024)
by: Li, Boheng, et al.
Published: (2024)
PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
by: Liu, Dazhuang, et al.
Published: (2026)
by: Liu, Dazhuang, et al.
Published: (2026)
DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers
by: Martínez-Mejía, C. A., et al.
Published: (2024)
by: Martínez-Mejía, C. A., et al.
Published: (2024)
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
by: Cheng, Siyuan, et al.
Published: (2024)
by: Cheng, Siyuan, et al.
Published: (2024)
Memory Backdoor Attacks on Neural Networks
by: Luzon, Eden, et al.
Published: (2024)
by: Luzon, Eden, et al.
Published: (2024)
Backdoor Directions in Vision Transformers
by: Karayalcin, Sengim, et al.
Published: (2026)
by: Karayalcin, Sengim, et al.
Published: (2026)
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
by: Wei, Shaokui, et al.
Published: (2024)
by: Wei, Shaokui, et al.
Published: (2024)
Clean-image Backdoor Attacks
by: Rong, Dazhong, et al.
Published: (2024)
by: Rong, Dazhong, et al.
Published: (2024)
Towards Physical World Backdoor Attacks against Skeleton Action Recognition
by: Zheng, Qichen, et al.
Published: (2024)
by: Zheng, Qichen, et al.
Published: (2024)
Defending against Backdoor Attack on Deep Neural Networks
by: Cheng, Hao, et al.
Published: (2020)
by: Cheng, Hao, et al.
Published: (2020)
Inevitable Encounters: Backdoor Attacks Involving Lossy Compression
by: Li, Qian, et al.
Published: (2026)
by: Li, Qian, et al.
Published: (2026)
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
by: Zhong, Zhiyuan, et al.
Published: (2025)
by: Zhong, Zhiyuan, et al.
Published: (2025)
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
by: Nguyen, Duong H., et al.
Published: (2024)
by: Nguyen, Duong H., et al.
Published: (2024)
Revocable Backdoor for Deep Model Trading
by: Xu, Yiran, et al.
Published: (2024)
by: Xu, Yiran, et al.
Published: (2024)
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
by: Zhao, Pu, et al.
Published: (2019)
by: Zhao, Pu, et al.
Published: (2019)
Multi-Target Federated Backdoor Attack Based on Feature Aggregation
by: Hao, Lingguag, et al.
Published: (2025)
by: Hao, Lingguag, et al.
Published: (2025)
Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects
by: Zhou, Zirun, et al.
Published: (2025)
by: Zhou, Zirun, et al.
Published: (2025)
ConSeg: Contextual Backdoor Attack Against Semantic Segmentation
by: Abbasi, Bilal Hussain, et al.
Published: (2025)
by: Abbasi, Bilal Hussain, et al.
Published: (2025)
Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
Backdoor Attack Against Vision Transformers via Attention Gradient-Based Image Erosion
by: Guo, Ji, et al.
Published: (2024)
by: Guo, Ji, et al.
Published: (2024)
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
by: Li, Ziqiang, et al.
Published: (2023)
by: Li, Ziqiang, et al.
Published: (2023)
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)
by: Hossain, Khondoker Murad, et al.
Published: (2024)
iBA: Backdoor Attack on 3D Point Cloud via Reconstructing Itself
by: Bian, Yuhao, et al.
Published: (2024)
by: Bian, Yuhao, et al.
Published: (2024)
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
by: Xu, Yongjie, et al.
Published: (2024)
by: Xu, Yongjie, et al.
Published: (2024)
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
by: Yang, Sheng, et al.
Published: (2024)
by: Yang, Sheng, et al.
Published: (2024)
CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks
by: Wu, Yinghao, et al.
Published: (2025)
by: Wu, Yinghao, et al.
Published: (2025)
A Survey of Trojan Attacks and Defenses to Deep Neural Networks
by: Jin, Lingxin, et al.
Published: (2024)
by: Jin, Lingxin, et al.
Published: (2024)
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior
by: Yu, Yi, et al.
Published: (2024)
by: Yu, Yi, et al.
Published: (2024)
Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget
by: Yang, Yi, et al.
Published: (2026)
by: Yang, Yi, et al.
Published: (2026)
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
by: Fan, Mingyuan, et al.
Published: (2025)
by: Fan, Mingyuan, et al.
Published: (2025)
Under-confidence Backdoors Are Resilient and Stealthy Backdoors
by: Peng, Minlong, et al.
Published: (2022)
by: Peng, Minlong, et al.
Published: (2022)
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models
by: Wu, Zongyu, et al.
Published: (2025)
by: Wu, Zongyu, et al.
Published: (2025)
RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance
by: Lin, Miao, et al.
Published: (2026)
by: Lin, Miao, et al.
Published: (2026)
Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
by: Wang, Ruotong, et al.
Published: (2023)
by: Wang, Ruotong, et al.
Published: (2023)
Similar Items
-
Megatron: Evasive Clean-Label Backdoor Attacks against Vision Transformer
by: Gong, Xueluan, et al.
Published: (2024) -
Backdoor Attack with Sparse and Invisible Trigger
by: Gao, Yinghua, et al.
Published: (2023) -
Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
by: Li, Ziqiang, et al.
Published: (2023) -
BadViM: Backdoor Attack against Vision Mamba
by: Wu, Yinghao, et al.
Published: (2025) -
Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)