Delayed Backdoor Attacks: Exploring the Temporal Dimension as a New Attack Surface in Pre-Trained Models

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References (53)

[1]
Unmasking Backdoors: An Explainable Defense via Gradient-Attention Anomaly Scoring for Pre-trained Language Models
2025Anindya Sundar Das, Kangjie Chen et al.
[2]
Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
2025Raj Patel, Himanshu Tripathi et al.
[3]
Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
2025Zenghui Yuan, Yangming Xu et al.
[4]
Understanding Large Language Model Supply Chain: Structure, Domain, and Vulnerabilities
2025Yan Hu, Shenao Wang et al.
[5]
Model checking deep neural networks: opportunities and challenges
2025Z. Sbai
[6]
Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
2025Liang-bo Ning, Wenqi Fan et al.
[7]
REFINE: Inversion-Free Backdoor Defense via Model Reprogramming
2025Yukun Chen, Shuo Shao et al.
[8]
ReVeil: Unconstrained Concealed Backdoor Attack on Deep Neural Networks using Machine Unlearning
2025Manaar Alam, Hithem Lamri et al.
[9]
Backdoor Attack and Defense on Deep Learning: A Survey
2025Yang Bai, Gaojie Xing et al.
[10]
Neural Network Verification is a Programming Language Challenge
2025Lucas C. Cordeiro, M. Daggitt et al.
[11]
Shadow-Activated Backdoor Attacks on Multimodal Large Language Models
2025Ziyi Yin, Muchao Ye et al.
[12]
Unlearn to Relearn Backdoors: Deferred Backdoor Functionality Attacks on Deep Learning Models
2024Jeongjin Shin, Sangdon Park
[13]
Architectural Neural Backdoors from First Principles
2024Harry Langford, Ilia Shumailov et al.
[14]
Punctuation Matters! Stealthy Backdoor Attack for Language Models
2023Xuan Sheng, Zhicheng Li et al.
[15]
Backdoor Defense via Deconfounded Representation Learning
2023Zaixin Zhang, Qi Liu et al.
[16]
BayBFed: Bayesian Backdoor Defense for Federated Learning
2023Kavita Kumari, P. Rieger et al.
[17]
Poison Egg: Scrambling Federated Learning with Delayed Backdoor Attack
2023Masayoshi Tsutsui, Tatsuya Kaneko et al.
[18]
A Survey on Backdoor Attack and Defense in Natural Language Processing
2022Xuan Sheng, Zhaoyang Han et al.
[19]
LoneNeuron: A Highly-Effective Feature-Domain Neural Trojan Using Invisible and Polymorphic Watermarks
2022Zeyan Liu, Fengjun Li et al.
[20]
A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks
2022Ganqu Cui, Lifan Yuan et al.

Showing 20 of 53 references

Founder's Pitch

"Introducing Delayed Backdoor Attacks, a novel threat model for pre-trained models that exploits temporal dimensions for malicious activation."

Security in AIScore: 5View PDF ↗

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0-10 scale

High Potential

2/4 signals

5

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1/4 signals

2.5

Series A Potential

1/4 signals

2.5

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