ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing

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ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing

24 April 2025

Ayesha Siddique

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Papers citing "ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing"

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Title
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI Ashwin Bhat A. Raychowdhury 116 4 0 22 Feb 2023
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge Ashwin Bhat A. S. Assoa A. Raychowdhury 72 9 0 19 Oct 2022
Model-Architecture Co-Design for High Performance Temporal GNN Inference on FPGA Hongkuan Zhou Bingyi Zhang Rajgopal Kannan Viktor Prasanna Carl E. Busart GNN 63 23 0 10 Mar 2022
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? Ayesha Siddique K. A. Hoque AAML 79 7 0 02 Dec 2021
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units Zhixin Pan Prabhat Mishra 69 18 0 22 Mar 2021
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree Ensembles Rory Mitchell E. Frank G. Holmes 45 57 0 27 Oct 2020
Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets K. Angrishi 33 237 0 13 Feb 2017