research
∙
01/25/2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
The state-of-the-art predictive maintenance (PdM) techniques have shown ...
share
research
∙
01/12/2023
Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults
Approximate computing is known for enhancing deep neural network acceler...
research
∙
01/12/2023
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization
Spiking neural networks have made breakthroughs in computer vision by le...
research
∙
01/12/2023
Security-Aware Approximate Spiking Neural Networks
Deep Neural Networks (DNNs) and Spiking Neural Networks (SNNs) are both ...
research
∙
12/02/2021
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?
Approximate computing is known for its effectiveness in improvising the ...
research
∙
01/08/2021
