backdoor attacks 1black-box attacks 1data poisoning 1representation alignment 1trigger generalization 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CR2026
Lilith: Backdoor Generalization under Training-Inference Trigger Shift
Zhou Feng, Jiahao Chen, Chunyi Zhou +6
The paper studies how backdoor attacks can remain effective when the trigger used at inference time differs from the one seen during training, and proposes Lilith, a black‑box meth…
cs.LG2026
SDFLoRA: Selective Decoupled Federated LoRA for Privacy-preserving Fine-tuning with Heterogeneous Clients
Zhikang Shen, Jianrong Lu, Haiyuan Wan +1
Federated learning (FL) for large language models (LLMs) has attracted increasing attention as a privacy-preserving approach for adapting models over distributed data, where parame…
cs.LG2025
The Eminence in Shadow: Exploiting Feature Boundary Ambiguity for Robust Backdoor Attacks
Zhou Feng, Jiahao Chen, Chunyi Zhou +5
Deep neural networks (DNNs) underpin critical applications yet remain vulnerable to backdoor attacks, typically reliant on heuristic brute-force methods. Despite significant empiri…