4 citations · 8 across the 13 of their papers we have counts for
4 papers · 1 filter
SMS: Self-supervised Model Seeding for Verification of Machine Unlearning
Weiqi Wang, Chenhan Zhang, Zhiyi Tian +1
Many machine unlearning methods have been proposed recently to uphold users' right to be forgotten. However, offering users verification of their data removal post-unlearning is an…
TAPE: Tailored Posterior Difference for Auditing of Machine Unlearning
Weiqi Wang, Zhiyi Tian, An Liu +1
With the increasing prevalence of Web-based platforms handling vast amounts of user data, machine unlearning has emerged as a crucial mechanism to uphold users' right to be forgott…
CRFU: Compressive Representation Forgetting Against Privacy Leakage on Machine Unlearning
Weiqi Wang, Chenhan Zhang, Zhiyi Tian +2
Machine unlearning allows data owners to erase the impact of their specified data from trained models. Unfortunately, recent studies have shown that adversaries can recover the era…
SCU: An Efficient Machine Unlearning Scheme for Deep Learning Enabled Semantic Communications
Weiqi Wang, Zhiyi Tian, Chenhan Zhang +1
Deep learning (DL) enabled semantic communications leverage DL to train encoders and decoders (codecs) to extract and recover semantic information. However, most semantic training…