research
∙
08/09/2022
Attention Hijacking in Trojan Transformers
Trojan attacks pose a severe threat to AI systems. Recent works on Trans...
share
research
∙
08/09/2022
A Multimodal Transformer: Fusing Clinical Notes with Structured EHR Data for Interpretable In-Hospital Mortality Prediction
Deep-learning-based clinical decision support using structured electroni...
research
∙
05/13/2022
A Study of the Attention Abnormality in Trojaned BERTs
Trojan attacks raise serious security concerns. In this paper, we invest...
research
∙
06/11/2021
Topological Detection of Trojaned Neural Networks
Deep neural networks are known to have security issues. One particular t...
research
∙
03/13/2021
Learning with Feature-Dependent Label Noise: A Progressive Approach
Label noise is frequently observed in real-world large-scale datasets. T...
research
∙
12/09/2020
A Topological Filter for Learning with Label Noise
Noisy labels can impair the performance of deep neural networks. To tack...
research
∙
11/19/2020