1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IT2025
Partitioning for Intrinsic Model Inversion Resistance in Collaborative Inference
Rongke Liu, Youwen Zhu, Lei Zhou +2
In collaborative inference (CI), transmitting intermediate representations from edge devices enables model inversion attacks (MIA) that reconstruct the original inputs , whi…
cs.CR2025
Model Inversion Attack against Federated Unlearning
Lei Zhou, Youwen Zhu
With the introduction of regulations related to the ``right to be forgotten", federated learning (FL) is facing new privacy compliance challenges. To address these challenges, rese…
cs.CR2025★ 1 cited
How Breakable Is Privacy: Probing and Resisting Model Inversion Attacks in Collaborative Inference
Rongke Liu, Youwen Zhu, Dong Wang +3
Collaborative inference (CI) improves computational efficiency for edge devices by transmitting intermediate features to cloud models. However, this process inevitably exposes feat…