1 citations · 1 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
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…
Machine Unlearning: Taxonomy, Metrics, Applications, Challenges, and Prospects
Na Li, Chunyi Zhou, Yansong Gao +4
Personal digital data is a critical asset, and governments worldwide have enforced laws and regulations to protect data privacy. Data users have been endowed with the right to be f…
PPA: Preference Profiling Attack Against Federated Learning
Chunyi Zhou, Yansong Gao, Anmin Fu +5
Federated learning (FL) trains a global model across a number of decentralized users, each with a local dataset. Compared to traditional centralized learning, FL does not require d…