20 citations · 31 across the 9 of their papers we have counts for
4 papers · 1 filter
Exposing Reliability Degradation and Mitigation in Approximate DNNs under Permanent Faults
Ayesha Siddique, Khaza Anuarul Hoque
Approximate computing is known for enhancing deep neural network accelerators' energy efficiency by introducing inexactness with a tolerable accuracy loss. However, small accuracy…
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization
Ayesha Siddique, Khaza Anuarul Hoque
Spiking neural networks have made breakthroughs in computer vision by lending themselves to neuromorphic hardware. However, the neuromorphic hardware lacks parallelism and hence, l…
Security-Aware Approximate Spiking Neural Networks
Syed Tihaam Ahmad, Ayesha Siddique, Khaza Anuarul Hoque
Deep Neural Networks (DNNs) and Spiking Neural Networks (SNNs) are both known for their susceptibility to adversarial attacks. Therefore, researchers in the recent past have extens…
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
Ayesha Siddique, Ripan Kumar Kundu, Gautam Raj Mode +1
The state-of-the-art predictive maintenance (PdM) techniques have shown great success in reducing maintenance costs and downtime of complicated machines while increasing overall pr…