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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

Ayesha Siddique
Khurram Khalil
K. A. Hoque
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Title
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI
Non-Uniform Interpolation in Integrated Gradients for Low-Latency Explainable-AI
Ashwin Bhat
A. Raychowdhury
113
4
0
22 Feb 2023
Gradient Backpropagation based Feature Attribution to Enable Explainable-AI on the Edge
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
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?
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?
Ayesha Siddique
K. A. Hoque
AAML
77
7
0
02 Dec 2021
Hardware Acceleration of Explainable Machine Learning using Tensor Processing Units
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
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
Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT Botnets
K. Angrishi
33
237
0
13 Feb 2017