4 papers
ZKBoost: Zero-Knowledge Verifiable Training for XGBoost
Nikolas Melissaris, Antigoni Polychroniadou, Akira Takahashi +2
Gradient boosted decision trees, particularly XGBoost, are among the most effective methods for tabular data. As deployment in sensitive settings increases, cryptographic guarantee…
Efficient Fuzzy Private Set Intersection from Secret-shared OPRF
Xinpeng Yang, Meng Hao, Chenkai Weng +3
Private set intersection (PSI) enables a sender holding a set of size and a receiver holding a set of size to securely compute the intersection . Fuzzy PS…
Collusion Resistant DNS With Private Information Retrieval
Yunming Xiao, Peizhi Liu, Ruijie Yu +3
There has been a growing interest in Internet user privacy, demonstrated by the popularity of privacy-preserving products such as Telegram and Brave, and the widespread adoption of…
On Large Language Model Continual Unlearning
Chongyang Gao, Lixu Wang, Kaize Ding +3
While large language models have demonstrated impressive performance across various domains and tasks, their security issues have become increasingly severe. Machine unlearning has…