7 citations · 7 across the 3 of their papers we have counts for
4 papers
TabChange: Precise Attribute Changes in Tabular Data
Arjun Dahal, Yu Lei, Raghu N. Kacker +1
Modifying an attribute in tabular data often introduces an unnatural instance by breaking its relationships with other attributes. The modified instance must be both natural and mi…
DD-CAM: Minimal Sufficient Explanations for Vision Models Using Delta Debugging
Krishna Khadka, Yu Lei, Raghu N. Kacker +1
We introduce a gradient-free framework for identifying minimal, sufficient, and decision-preserving explanations in vision models by isolating the smallest subset of representation…
ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions
Krishna Khadka, Sunny Shree, Pujan Budhathoki +3
Machine learning models are increasingly used in critical applications but are mostly "black boxes" due to their lack of transparency. Local explanation approaches, such as LIME, a…
Understanding and Fixing Complex Faults in Embedded Cyberphysical Systems
Alexander Weiss, Smitha Gautham, Athira Varma Jayakumar +4
Understanding fault types can lead to novel approaches to debugging and runtime verification. Dealing with complex faults, particularly in the challenging area of embedded systems,…