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cs.LG2026
CausShield: Sample Reconstruction-Resilient Vertical FL via Causal Representation Learning
Yongqi Jiang, Yansong Gao, Siguang Chen +1
Vertical federated learning (VFL) is a distributed learning paradigm that leverages vertically partitioned features across isolated parties without sharing raw samples; however, it…
cs.LG2024
TruVRF: Towards Triple-Granularity Verification on Machine Unlearning
Chunyi Zhou, Anmin Fu, Zhiyang Dai
The concept of the right to be forgotten has led to growing interest in machine unlearning, but reliable validation methods are lacking, creating opportunities for dishonest model…
cs.LG2024
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai, Chunyi Zhou, Anmin Fu
In contrast to prevalent Federated Learning (FL) privacy inference techniques such as generative adversarial networks attacks, membership inference attacks, property inference atta…