BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
Fuente:
arXiv
Saved in:
| 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: | |
| Online Access: | |
| 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)
by: Wu, Baoyuan, et al.
Published: (2024)
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
by: Yuan, Danni, et al.
Published: (2023)
by: Yuan, Danni, et al.
Published: (2023)
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
by: Zhu, Mingli, et al.
Published: (2025)
by: Zhu, Mingli, et al.
Published: (2025)
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)
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor
by: Wei, Shaokui, et al.
Published: (2024)
by: Wei, Shaokui, et al.
Published: (2024)
WPDA: Frequency-based Backdoor Attack with Wavelet Packet Decomposition
by: Song, Zhengyao, et al.
Published: (2024)
by: Song, Zhengyao, et al.
Published: (2024)
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
by: Zheng, Meixi, et al.
Published: (2023)
by: Zheng, Meixi, et al.
Published: (2023)
Backdoor Mitigation by Distance-Driven Detoxification
by: Wei, Shaokui, et al.
Published: (2024)
by: Wei, Shaokui, et al.
Published: (2024)
Revisiting the Auxiliary Data in Backdoor Purification
by: Wei, Shaokui, et al.
Published: (2025)
by: Wei, Shaokui, et al.
Published: (2025)
BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model
by: Lin, Weilin, et al.
Published: (2025)
by: Lin, Weilin, et al.
Published: (2025)
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
by: Lin, Weilin, et al.
Published: (2024)
by: Lin, Weilin, et al.
Published: (2024)
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation
by: Yu, Haiyang, et al.
Published: (2024)
by: Yu, Haiyang, et al.
Published: (2024)
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
by: Liu, Xuxu, et al.
Published: (2025)
by: Liu, Xuxu, et al.
Published: (2025)
Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward
by: Guo, Weiyang, et al.
Published: (2026)
by: Guo, Weiyang, et al.
Published: (2026)
Backdoor4Good: Benchmarking Beneficial Uses of Backdoors in LLMs
by: Li, Yige, et al.
Published: (2026)
by: Li, Yige, et al.
Published: (2026)
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation
by: Zhu, Chengcheng, et al.
Published: (2025)
by: Zhu, Chengcheng, et al.
Published: (2025)
Backdoor Attacks and Countermeasures in Natural Language Processing Models: A Comprehensive Security Review
by: Cheng, Pengzhou, et al.
Published: (2023)
by: Cheng, Pengzhou, et al.
Published: (2023)
Stateful Agent Backdoor
by: Dai, Zhengchunmin, et al.
Published: (2026)
by: Dai, Zhengchunmin, et al.
Published: (2026)
HPE: Hallucinated Positive Entanglement for Backdoor Attacks in Federated Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2026)
by: Wang, Jiayao, et al.
Published: (2026)
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
by: Li, Ye, et al.
Published: (2024)
by: Li, Ye, et al.
Published: (2024)
How to Backdoor the Knowledge Distillation
by: Wu, Chen, et al.
Published: (2025)
by: Wu, Chen, et al.
Published: (2025)
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning
by: Li, Songze, et al.
Published: (2024)
by: Li, Songze, et al.
Published: (2024)
Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization
by: Zhang, Mingda, et al.
Published: (2024)
by: Zhang, Mingda, et al.
Published: (2024)
Isolate Trigger: Detecting and Eliminating Adaptive Backdoor Attacks
by: Sun, Chengrui, et al.
Published: (2025)
by: Sun, Chengrui, et al.
Published: (2025)
Poisoning the Pixels: Revisiting Backdoor Attacks on Semantic Segmentation
by: Zhang, Guangsheng, et al.
Published: (2026)
by: Zhang, Guangsheng, et al.
Published: (2026)
SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated Learning
by: Zhu, Chengcheng, et al.
Published: (2025)
by: Zhu, Chengcheng, et al.
Published: (2025)
DSBA: Dynamic Stealthy Backdoor Attack with Collaborative Optimization in Self-Supervised Learning
by: Wang, Jiayao, et al.
Published: (2026)
by: Wang, Jiayao, et al.
Published: (2026)
Runtime Backdoor Detection for Federated Learning via Representational Dissimilarity Analysis
by: Zhang, Xiyue, et al.
Published: (2025)
by: Zhang, Xiyue, et al.
Published: (2025)
Prototype-Guided Robust Learning against Backdoor Attacks
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
by: Yang, Jinluan, et al.
Published: (2024)
by: Yang, Jinluan, et al.
Published: (2024)
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses
by: Yang, Yuxin, et al.
Published: (2024)
by: Yang, Yuxin, et al.
Published: (2024)
Transferring Backdoors between Large Language Models by Knowledge Distillation
by: Cheng, Pengzhou, et al.
Published: (2024)
by: Cheng, Pengzhou, et al.
Published: (2024)
Target Attack Backdoor Malware Analysis and Attribution
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)
by: Lai, Anthony Cheuk Tung, et al.
Published: (2025)
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
by: Lyu, Xiaoting, et al.
Published: (2024)
by: Lyu, Xiaoting, et al.
Published: (2024)
Lightweight and Fast Backdoor Model Detection
by: Yu, Yinbo, et al.
Published: (2026)
by: Yu, Yinbo, et al.
Published: (2026)
Structure-Aware Distributed Backdoor Attacks in Federated Learning
by: Jian, Wang, et al.
Published: (2026)
by: Jian, Wang, et al.
Published: (2026)
Comprehensive Evaluation of Cloaking Backdoor Attacks on Object Detector in Real-World
by: Ma, Hua, et al.
Published: (2025)
by: Ma, Hua, et al.
Published: (2025)
Selection-Based Vulnerabilities: Clean-Label Backdoor Attacks in Active Learning
by: Zhi, Yuhan, et al.
Published: (2025)
by: Zhi, Yuhan, et al.
Published: (2025)
AutoBackdoor: Automating Backdoor Attacks via LLM Agents
by: Li, Yige, et al.
Published: (2025)
by: Li, Yige, et al.
Published: (2025)
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions
by: Cinà, Antonio Emanuele, et al.
Published: (2021)
by: Cinà, Antonio Emanuele, et al.
Published: (2021)
Similar Items
-
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning
by: Wu, Baoyuan, et al.
Published: (2024) -
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
by: Yuan, Danni, et al.
Published: (2023) -
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features
by: Zhu, Mingli, et al.
Published: (2025) -
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)