4 papers
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
James Flemings, Bo Jiang, Wanrong Zhang +2
Language models (LMs) rely on their parametric knowledge augmented with relevant contextual knowledge for certain tasks, such as question answering. However, the contextual knowled…
Label Smoothing Improves Machine Unlearning
Zonglin Di, Zhaowei Zhu, Jinghan Jia +6
The objective of machine unlearning (MU) is to eliminate previously learned data from a model. However, it is challenging to strike a balance between computation cost and performan…
Embedding Attack Project (Work Report)
Jiameng Pu, Zafar Takhirov
This report summarizes all the MIA experiments (Membership Inference Attacks) of the Embedding Attack Project, including threat models, experimental setup, experimental results, fi…
Field of Groves: An Energy-Efficient Random Forest
Zafar Takhirov, Joseph Wang, Marcia S. Louis +2
Machine Learning (ML) algorithms, like Convolutional Neural Networks (CNN), Support Vector Machines (SVM), etc. have become widespread and can achieve high statistical performance.…