5 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.CR2025
VMask: Tunable Label Privacy Protection for Vertical Federated Learning via Layer Masking
Juntao Tan, Lan Zhang, Zhonghao Hu +3
Though vertical federated learning (VFL) is generally considered to be privacy-preserving, recent studies have shown that VFL system is vulnerable to label inference attacks origin…
cs.CR2024
Data Free Backdoor Attacks
Bochuan Cao, Jinyuan Jia, Chuxuan Hu +5
Backdoor attacks aim to inject a backdoor into a classifier such that it predicts any input with an attacker-chosen backdoor trigger as an attacker-chosen target class. Existing ba…
cs.CV2023★ 5 cited
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Junfeng Guo, Yiming Li, Lixu Wang +4
The prosperity of deep neural networks (DNNs) is largely benefited from open-source datasets, based on which users can evaluate and improve their methods. In this paper, we revisit…