3 papers
cs.CR2025
Delving into Cryptanalytic Extraction of PReLU Neural Networks
Yi Chen, Xiaoyang Dong, Ruijie Ma +4
The machine learning problem of model extraction was first introduced in 1991 and gained prominence as a cryptanalytic challenge starting with Crypto 2020. For over three decades,…
cs.CR2025
LoRA-Leak: Membership Inference Attacks Against LoRA Fine-tuned Language Models
Delong Ran, Xinlei He, Tianshuo Cong +3
Language Models (LMs) typically adhere to a "pre-training and fine-tuning" paradigm, where a universal pre-trained model can be fine-tuned to cater to various specialized domains.…
cs.CR2024
Hard-Label Cryptanalytic Extraction of Neural Network Models
Yi Chen, Xiaoyang Dong, Jian Guo +3
The machine learning problem of extracting neural network parameters has been proposed for nearly three decades. Functionally equivalent extraction is a crucial goal for research o…