Cover Image

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Baoyuan, Chen, Hongrui, Zhang, Mingda, Zhu, Zihao, Wei, Shaokui, Yuan, Danni, Zhu, Mingli, Wang, Ruotong, Liu, Li, Shen, Chao
Format:	Preprint
Published:	2024
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

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
by: Wu, Baoyuan, et al.
Published: (2024)

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

Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
by: Wang, Ruotong, et al.
Published: (2023)

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
by: Wei, Shaokui, et al.
Published: (2024)

Breaking the False Sense of Security in Backdoor Defense through Re-Activation Attack
by: Zhu, Mingli, et al.
Published: (2024)

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models
by: Zhu, Zihao, et al.
Published: (2023)

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

BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
by: Liang, Siyuan, et al.
Published: (2023)

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)

Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
by: Yuan, Danni, et al.
Published: (2023)

Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
by: Lin, Weilin, et al.
Published: (2024)

Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
by: Zhu, Mingli, et al.
Published: (2025)

BrandFusion: A Multi-Agent Framework for Seamless Brand Integration in Text-to-Video Generation
by: Zhu, Zihao, et al.
Published: (2026)

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

BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025)

Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
by: Zhuang, Haomin, et al.
Published: (2023)

Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning
by: Liang, Siyuan, et al.
Published: (2024)

WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition
by: Song, Zhengyao, et al.
Published: (2024)

DeepfakeBench-MM: A Comprehensive Benchmark for Multimodal Deepfake Detection
by: Zhao, Kangran, et al.
Published: (2025)

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

BackdoorIDS: Zero-shot Backdoor Detection for Pretrained Vision Encoder
by: Huang, Siquan, et al.
Published: (2026)

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

TrojVLM: Backdoor Attack Against Vision Language Models
by: Lyu, Weimin, et al.
Published: (2024)

FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
by: Zhu, Meilu, et al.
Published: (2026)

MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis
by: Zhu, Ning, et al.
Published: (2025)

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

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment
by: Chen, Tuo, et al.
Published: (2025)

A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models
by: Truong, Vu Tuan, et al.
Published: (2025)

Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
by: Abad, Gorka, et al.
Published: (2026)

Backdooring Vision-Language Models with Out-Of-Distribution Data
by: Lyu, Weimin, et al.
Published: (2024)

BadCM: Invisible Backdoor Attack Against Cross-Modal Learning
by: Zhang, Zheng, et al.
Published: (2024)

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

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing
by: Zhu, Zihao, et al.
Published: (2024)

Test-Time Backdoor Detection for Object Detection Models
by: Zhang, Hangtao, et al.
Published: (2025)

Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
by: Wang, Zhongqi, et al.
Published: (2025)

Adversarial Backdoor Defense in CLIP
by: Kuang, Junhao, et al.
Published: (2024)

BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
by: Bai, Jiawang, et al.
Published: (2023)

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

Under-confidence Backdoors Are Resilient and Stealthy Backdoors
by: Peng, Minlong, et al.
Published: (2022)

Defending Multimodal Backdoored Models by Repulsive Visual Prompt Tuning
by: Zhang, Zhifang, et al.
Published: (2024)