2 papers
cs.LG2026
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…
cs.LG2026
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…