7 papers · 1 filter
Fuzzy PSI from Symmetric Primitives with Exact Logarithmic Dependence on Distance Threshold
Cong Zhang, Yang Cao, Yujie Bai +5
Previous FPSI works have demonstrated a linear scaling with the distance threshold , while some recent works have achieved a poly-logarithmic dependence on . However, these p…
Cryptanalysis of LDPC-Based Pseudorandom Error-Correcting Codes
Tianrui Wang, Anyu Wang, Tianshuo Cong +3
Pseudorandom error-correcting codes (PRCs), a novel cryptographic primitive recently proposed at CRYPTO 2024, are primarily applied in undetectable watermarking schemes for large g…
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,…
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.…
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…
Have You Merged My Model? On The Robustness of Large Language Model IP Protection Methods Against Model Merging
Tianshuo Cong, Delong Ran, Zesen Liu +6
Model merging is a promising lightweight model empowerment technique that does not rely on expensive computing devices (e.g., GPUs) or require the collection of specific training d…