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Exploring Fault-Energy Trade-offs in Approximate DNN Hardware
  Accelerators

Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators

8 January 2021
Ayesha Siddique
K. Basu
K. A. Hoque
ArXivPDFHTML

Papers citing "Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators"

5 / 5 papers shown
Title
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
Khurram Khalil
K. A. Hoque
AAML
81
0
0
24 Apr 2025
Exploration of Activation Fault Reliability in Quantized Systolic
  Array-Based DNN Accelerators
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators
Mahdi Taheri
N. Cherezova
M. S. Ansari
M. Jenihhin
A. Mahani
Masoud Daneshtalab
J. Raik
29
12
0
17 Jan 2024
A Systematic Literature Review on Hardware Reliability Assessment
  Methods for Deep Neural Networks
A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks
Mohammad Hasan Ahmadilivani
Mahdi Taheri
J. Raik
Masoud Daneshtalab
M. Jenihhin
37
25
0
09 May 2023
Improving Reliability of Spiking Neural Networks through Fault Aware
  Threshold Voltage Optimization
Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization
Ayesha Siddique
K. A. Hoque
24
5
0
12 Jan 2023
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
32
6
0
02 Dec 2021
1