most citedImproving Generalization of Adversarial Training via Robust Critical Fine-Tuning

2 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 1 cited

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities

Wenyue Hua, Kaijie Zhu, Lingyao Li +7

This study intends to systematically disentangle pure logic reasoning and text understanding by investigating the contrast across abstract and contextualized logical problems from…

cs.LG2023★ 2 cited

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning

Kaijie Zhu, Jindong Wang, Xixu Hu +2

Deep neural networks are susceptible to adversarial examples, posing a significant security risk in critical applications. Adversarial Training (AT) is a well-established technique…