31 citations · 40 across the 5 of their papers we have counts for
5 papers
Reference Recommendation based Membership Inference Attack against Hybrid-based Recommender Systems
Xiaoxiao Chi, Xuyun Zhang, Yan Wang +2
Recommender systems have been widely deployed across various domains such as e-commerce and social media, and intelligently suggest items like products and potential friends to use…
Watermarking Text Data on Large Language Models for Dataset Copyright
Yixin Liu, Hongsheng Hu, Xun Chen +2
Substantial research works have shown that deep models, e.g., pre-trained models, on the large corpus can learn universal language representations, which are beneficial for downstr…
Membership Inference via Backdooring
Hongsheng Hu, Zoran Salcic, Gillian Dobbie +3
Recently issued data privacy regulations like GDPR (General Data Protection Regulation) grant individuals the right to be forgotten. In the context of machine learning, this requir…
Source Inference Attacks in Federated Learning
Hongsheng Hu, Zoran Salcic, Lichao Sun +2
Federated learning (FL) has emerged as a promising privacy-aware paradigm that allows multiple clients to jointly train a model without sharing their private data. Recently, many s…
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu, Zoran Salcic, Lichao Sun +3
Machine learning (ML) models have been widely applied to various applications, including image classification, text generation, audio recognition, and graph data analysis. However,…