Countering Backdoor Attacks in Image Recognition: A Survey and Evaluation of Mitigation Strategies
Fuente:
arXiv
Saved in:
| Main Authors: | Dunnett, Kealan, Arablouei, Reza, Miller, Dimity, Dedeoglu, Volkan, Jurdak, Raja |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unlearning Backdoor Attacks through Gradient-Based Model Pruning
by: Dunnett, Kealan, et al.
Published: (2024)
by: Dunnett, Kealan, et al.
Published: (2024)
BadDet+: Robust Backdoor Attacks for Object Detection
by: Dunnett, Kealan, et al.
Published: (2026)
by: Dunnett, Kealan, et al.
Published: (2026)
Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning
by: Dunnett, Kealan, et al.
Published: (2026)
by: Dunnett, Kealan, et al.
Published: (2026)
Backdoor Mitigation via Invertible Pruning Masks
by: Dunnett, Kealan, et al.
Published: (2025)
by: Dunnett, Kealan, et al.
Published: (2025)
A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches
by: Garcia, Rodrigo Dutra, et al.
Published: (2024)
by: Garcia, Rodrigo Dutra, et al.
Published: (2024)
Persistent Backdoor Attacks in Continual Learning
by: Guo, Zhen, et al.
Published: (2024)
by: Guo, Zhen, et al.
Published: (2024)
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
by: Qiu, Han, et al.
Published: (2020)
by: Qiu, Han, et al.
Published: (2020)
Privacy Preserving Charge Location Prediction for Electric Vehicles
by: Marlin, Robert, et al.
Published: (2025)
by: Marlin, Robert, et al.
Published: (2025)
Resilience in Online Federated Learning: Mitigating Model-Poisoning Attacks via Partial Sharing
by: Lari, Ehsan, et al.
Published: (2024)
by: Lari, Ehsan, et al.
Published: (2024)
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
by: Sui, Hao, et al.
Published: (2024)
by: Sui, Hao, et al.
Published: (2024)
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models
by: Hao, Jiang, et al.
Published: (2024)
by: Hao, Jiang, et al.
Published: (2024)
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data
by: Zhang, Jiale, et al.
Published: (2025)
by: Zhang, Jiale, et al.
Published: (2025)
eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem
by: Mehedi, Sk Tanzir, et al.
Published: (2026)
by: Mehedi, Sk Tanzir, et al.
Published: (2026)
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
by: Wan, Jialin, et al.
Published: (2025)
by: Wan, Jialin, et al.
Published: (2025)
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
by: Ren, Zhiyao, et al.
Published: (2025)
by: Ren, Zhiyao, et al.
Published: (2025)
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks
by: Wang, Yue, et al.
Published: (2022)
by: Wang, Yue, et al.
Published: (2022)
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction
by: Marlin, Robert, et al.
Published: (2025)
by: Marlin, Robert, et al.
Published: (2025)
Post-Quantum Cryptography for Internet of Things: A Survey on Performance and Optimization
by: Liu, Tao, et al.
Published: (2024)
by: Liu, Tao, et al.
Published: (2024)
Backdoor Attacks on Decentralised Post-Training
by: Ersoy, Oğuzhan, et al.
Published: (2026)
by: Ersoy, Oğuzhan, et al.
Published: (2026)
Watch Out for the Lifespan: Evaluating Backdoor Attacks Against Federated Model Adaptation
by: Vuillod, Bastien, et al.
Published: (2025)
by: Vuillod, Bastien, et al.
Published: (2025)
Counter-Samples: A Stateless Strategy to Neutralize Black Box Adversarial Attacks
by: Bokobza, Roey, et al.
Published: (2024)
by: Bokobza, Roey, et al.
Published: (2024)
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
by: Lin, Weilin, et al.
Published: (2024)
by: Lin, Weilin, et al.
Published: (2024)
Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
On the Out-of-Distribution Backdoor Attack for Federated Learning
by: Xu, Jiahao, et al.
Published: (2025)
by: Xu, Jiahao, et al.
Published: (2025)
Backdoor Attacks on Discrete Graph Diffusion Models
by: Wang, Jiawen, et al.
Published: (2025)
by: Wang, Jiawen, et al.
Published: (2025)
Backdoor Attacks in Peer-to-Peer Federated Learning
by: Syros, Georgios, et al.
Published: (2023)
by: Syros, Georgios, et al.
Published: (2023)
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective
by: Zhang, Zhiwei, et al.
Published: (2024)
by: Zhang, Zhiwei, et al.
Published: (2024)
Krait: A Backdoor Attack Against Graph Prompt Tuning
by: Song, Ying, et al.
Published: (2024)
by: Song, Ying, et al.
Published: (2024)
PECAN: A Deterministic Certified Defense Against Backdoor Attacks
by: Zhang, Yuhao, et al.
Published: (2023)
by: Zhang, Yuhao, et al.
Published: (2023)
MAED: Mathematical Activation Error Detection for Mitigating Physical Fault Attacks in DNN Inference
by: Ahmadi, Kasra, et al.
Published: (2026)
by: Ahmadi, Kasra, et al.
Published: (2026)
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
by: Fereidooni, Hossein, et al.
Published: (2023)
by: Fereidooni, Hossein, et al.
Published: (2023)
Adversarial Inception Backdoor Attacks against Reinforcement Learning
by: Rathbun, Ethan, et al.
Published: (2024)
by: Rathbun, Ethan, et al.
Published: (2024)
BadMerging: Backdoor Attacks Against Model Merging
by: Zhang, Jinghuai, et al.
Published: (2024)
by: Zhang, Jinghuai, et al.
Published: (2024)
UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
by: Han, Yuning, et al.
Published: (2024)
by: Han, Yuning, et al.
Published: (2024)
Backdoor Attacks on Transformers for Tabular Data: An Empirical Study
by: Pleiter, Bart, et al.
Published: (2023)
by: Pleiter, Bart, et al.
Published: (2023)
Defending against Backdoor Attack on Deep Neural Networks
by: Cheng, Hao, et al.
Published: (2020)
by: Cheng, Hao, et al.
Published: (2020)
Invariant Aggregator for Defending against Federated Backdoor Attacks
by: Wang, Xiaoyang, et al.
Published: (2022)
by: Wang, Xiaoyang, et al.
Published: (2022)
Cooperative Decentralized Backdoor Attacks on Vertical Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Self-Purification Mitigates Backdoors in Multimodal Diffusion Language Models
by: Wan, Guangnian, et al.
Published: (2026)
by: Wan, Guangnian, et al.
Published: (2026)
Comprehensive Survey on Adversarial Examples in Cybersecurity: Impacts, Challenges, and Mitigation Strategies
by: Li, Li
Published: (2024)
by: Li, Li
Published: (2024)
Similar Items
-
Unlearning Backdoor Attacks through Gradient-Based Model Pruning
by: Dunnett, Kealan, et al.
Published: (2024) -
BadDet+: Robust Backdoor Attacks for Object Detection
by: Dunnett, Kealan, et al.
Published: (2026) -
Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning
by: Dunnett, Kealan, et al.
Published: (2026) -
Backdoor Mitigation via Invertible Pruning Masks
by: Dunnett, Kealan, et al.
Published: (2025) -
A Survey of Blockchain-Based Privacy Applications: An Analysis of Consent Management and Self-Sovereign Identity Approaches
by: Garcia, Rodrigo Dutra, et al.
Published: (2024)