359 citations · 796 across the 15 of their papers we have counts for
3 papers · 1 filter
Extracting Forgotten Prompts from Targeted Unlearned Models
Au Ashley Hoi-Ting, Meghdad Kurmanji, William F. Shen +2
Recent unlearning methods (e.g. NPO, DPO, LUNAR) make use of refusal alignment to suppress forgotten data. However, it has been shown that refusal responses might leave traces of u…
DG-CoLearn: An Efficient Collaborative Learning Framework for Dynamic Graphs
Ashley Hoi-Ting Au, Zikun Zhang, Ligang He +1
Dynamic graph learning (DGL) is essential for modelling evolving graph data, but existing methods suffer from significant computational overhead due to repeated full-snapshot retra…
Lethe: Principled Dual-Stream Update for Persistent Knowledge Erasure in Federated Unlearning
Wentai Wu, Hanwei Tan, Yijun Quan +4
Federated unlearning (FU) aims to erase knowledge from a global model. Existing studies commonly assume that federated collaboration terminates after unlearning, overlooking a depl…