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Causal Analysis of Failures of Cyber-Physical Systems with Continuous Inputs
Tom Yaacov, David A. Kelly, Khen Elimelech +1
Modern autonomous Cyber-Physical Systems (CPSs), such as self-driving cars, operate in increasingly complex environments while expected to maintain high reliability. The black-box…
Mask-Induced Displacement in Audio XAI via Logit Trajectory Decomposition
Nico García-Peguinho, David Kelly, Fabrizio Smeraldi +1
Perturbation-based XAI methods for audio classifiers often estimate feature importance by masking spectrogram regions and crediting output changes to the retained signal. Yet they…
Generating Medical Image Counterfactuals using Causal Explanations
David A. Kelly, Tom Yaacov, Nathan Blake +2
Deep learning models have achieved impressive performance in medical image diagnosis, yet their deployment in clinical settings remains constrained by limited explainability. Count…
Quantifying Explainable AI-introduced signal noise on ECG data with Spectral Entropy
David A. Kelly, Nathan Blake
Explainability techniques are used to assess the output of various deep learning models. This is especially true in healthcare, where models need to be trusted and decisions justif…
Explaining Failures of Cyber-Physical Systems with Actual Causality
Khen Elimelech, Tom Yaacov, David A. Kelly +2
Modern autonomous Cyber-Physical Systems (CPSs), such as self-driving cars, face increasingly complex demands, and yet are expected to act reliably. The black-box nature often char…
If It's Good Enough for You, It's Good Enough for Me: Transferability of Audio Sufficiencies across Models
David A. Kelly, Hana Chockler
In order to gain fresh insights about the information processing characteristics of different audio classification models, we propose transferability analysis. Given a minimal, suf…
I Guess That's Why They Call it the Blues: Causal Analysis for Audio Classifiers
David A. Kelly, Hana Chockler
It is well-known that audio classifiers often rely on non-musically relevant features and spurious correlations to classify audio. Hence audio classifiers are easy to manipulate or…