Adversarial Attacks on Post Hoc Explanation Techniques (LIME/SHAP)
Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
Benchmark to Evaluate EXplainable AI
An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.
[AAAI'23 Paper] A machine learning defense for auditors of black box automated decision-making systems.
Repository for benchmarking different post-hoc xai explanation methods on image datasets
CAM, Grad-CAM, Grad-CAM++ and Guided Backpropagation post-hoc explanation methods
Applying post-hoc attention with CAM to the MNIST dataset
Astrapia - A Friendly XAI Explainer Evaluation Framework
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