Cover Image

Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xue, Mingfu, Ni, Shifeng, Wu, Yinghao, Zhang, Yushu, Wang, Jian, Liu, Weiqiang
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

InFIP: An Explainable DNN Intellectual Property Protection Method based on Intrinsic Features
by: Xue, Mingfu, et al.
Published: (2022)

BadViM: Backdoor Attack against Vision Mamba
by: Wu, Yinghao, et al.
Published: (2025)

An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
by: Gong, Xueluan, et al.
Published: (2024)

IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2025)

IU: Imperceptible Universal Backdoor Attack
by: Lin, Hsin, et al.
Published: (2026)

3D Invisible Cloak
by: Xue, Mingfu, et al.
Published: (2020)

Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning
by: Nguyen, Son, et al.
Published: (2024)

Energy Backdoor Attack to Deep Neural Networks
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection
by: Li, Zhiying, et al.
Published: (2024)

Seal2Real: Prompt Prior Learning on Diffusion Model for Unsupervised Document Seal Data Generation and Realisation
by: Yan, Mingfu, et al.
Published: (2023)

Component Adaptive Clustering for Generalized Category Discovery
by: Yan, Mingfu, et al.
Published: (2025)

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
by: Li, Ziqiang, et al.
Published: (2023)

Invisible Backdoor Attack against Self-supervised Learning
by: Zhang, Hanrong, et al.
Published: (2024)

SAIF: Sparse Adversarial and Imperceptible Attack Framework
by: Imtiaz, Tooba, et al.
Published: (2022)

Backdoor Attacks against Image-to-Image Networks
by: Jiang, Wenbo, et al.
Published: (2024)

Imperceptible Face Forgery Attack via Adversarial Semantic Mask
by: Liu, Decheng, et al.
Published: (2024)

MTAttack: Multi-Target Backdoor Attacks against Large Vision-Language Models
by: Wang, Zihan, et al.
Published: (2025)

Clean-image Backdoor Attacks
by: Rong, Dazhong, et al.
Published: (2024)

Megatron: Evasive Clean-Label Backdoor Attacks against Vision Transformer
by: Gong, Xueluan, et al.
Published: (2024)

Contrast-Prior Enhanced Duality for Mask-Free Shadow Removal
by: Wu, Jiyu, et al.
Published: (2025)

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization
by: Zhang, Mingda, et al.
Published: (2024)

AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
by: Li, Jin, et al.
Published: (2025)

Fisher Information guided Purification against Backdoor Attacks
by: Karim, Nazmul, et al.
Published: (2024)

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning
by: Liu, Tao, et al.
Published: (2024)

DeepBaR: Fault Backdoor Attack on Deep Neural Network Layers
by: Martínez-Mejía, C. A., et al.
Published: (2024)

SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
by: Kang, Jingdan, et al.
Published: (2025)

Imperceptible Protection against Style Imitation from Diffusion Models
by: Ahn, Namhyuk, et al.
Published: (2024)

Memory Backdoor Attacks on Neural Networks
by: Luzon, Eden, et al.
Published: (2024)

Leveraging Contrast Information for Efficient Document Shadow Removal
by: Liu, Yifan, et al.
Published: (2025)

MagicFight: Personalized Martial Arts Combat Video Generation
by: Huang, Jiancheng, et al.
Published: (2026)

Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
by: Yin, Wen, et al.
Published: (2024)

BadVideo: Stealthy Backdoor Attack against Text-to-Video Generation
by: Wang, Ruotong, et al.
Published: (2025)

Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
by: Li, Boheng, et al.
Published: (2024)

BadHMP: Backdoor Attack against Human Motion Prediction
by: Xu, Chaohui, et al.
Published: (2024)

LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks
by: Xu, Yongjie, et al.
Published: (2024)

BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
by: Chaturvedi, Saket S., et al.
Published: (2024)

VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
by: Liang, Jiawei, et al.
Published: (2024)

Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
by: Liang, Siyuan, et al.
Published: (2024)

XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs
by: Hu, Chengyin, et al.
Published: (2026)

Multi-Target Federated Backdoor Attack Based on Feature Aggregation
by: Hao, Lingguag, et al.
Published: (2025)