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References (10)

[1]
Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models
2026Hoang-Chau Luong, Lingwei Chen
[2]
Defending Against Prompt Injection with DataFilter
2025Yizhu Wang, Sizhe Chen et al.
[3]
PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning
2024Zhen Sun, Tianshuo Cong et al.
[4]
A General Framework for Data-Use Auditing of ML Models
2024Zonghao Huang, N. Gong et al.
[5]
Defending Neural Networks with Activation Analysis
2023Philip Sperl
[6]
LoRA: Low-Rank Adaptation of Large Language Models
2021Edward J. Hu, Yelong Shen et al.
[7]
Weight Poisoning Attacks on Pretrained Models
2020Keita Kurita, Paul Michel et al.
[8]
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
2018Bryant Chen, Wilka Carvalho et al.
[9]
Spectral Signatures in Backdoor Attacks
2018Brandon Tran, Jerry Li et al.
[10]
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
2017Tianyu Gu, Brendan Dolan-Gavitt et al.

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