7 citations · 14 across the 14 of their papers we have counts for
4 papers · 1 filter
Bias Testing and Mitigation in LLM-based Code Generation
Dong Huang, Jie M. Zhang, Qingwen Bu +3
As the adoption of LLMs becomes more widespread in software coding ecosystems, a pressing issue has emerged: does the generated code contain social bias and unfairness, such as tho…
SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression
Qingwen Bu, Sungrae Park, Minsoo Khang +1
Existing techniques for text detection can be broadly classified into two primary groups: segmentation-based and regression-based methods. Segmentation models offer enhanced robust…
Towards Building More Robust Models with Frequency Bias
Qingwen Bu, Dong Huang, Heming Cui
The vulnerability of deep neural networks to adversarial samples has been a major impediment to their broad applications, despite their success in various fields. Recently, some wo…
Adversarial Feature Map Pruning for Backdoor
Dong Huang, Qingwen Bu
Deep neural networks have been widely used in many critical applications, such as autonomous vehicles and medical diagnosis. However, their security is threatened by backdoor attac…