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FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving
  their Fault Tolerance using Clipped Activation

FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation

2 December 2019
L. Hoang
Muhammad Abdullah Hanif
Mohamed Bennai
    AI4CE
ArXivPDFHTML

Papers citing "FT-ClipAct: Resilience Analysis of Deep Neural Networks and Improving their Fault Tolerance using Clipped Activation"

9 / 9 papers shown
Title
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
34
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
48
27
0
09 May 2023
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability
  Assessment
DeepVigor: Vulnerability Value Ranges and Factors for DNNs' Reliability Assessment
Mohammad Hasan Ahmadilivani
Mahdi Taheri
J. Raik
Masoud Daneshtalab
M. Jenihhin
52
12
0
13 Mar 2023
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep
  Neural Networks
enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks
Alessio Colucci
A. Steininger
Mohamed Bennai
29
12
0
31 Jul 2022
Special Session: Towards an Agile Design Methodology for Efficient,
  Reliable, and Secure ML Systems
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Shail Dave
Alberto Marchisio
Muhammad Abdullah Hanif
Amira Guesmi
Aviral Shrivastava
Ihsen Alouani
Mohamed Bennai
39
13
0
18 Apr 2022
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
26
18
0
16 Apr 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
Securing Deep Spiking Neural Networks against Adversarial Attacks
  through Inherent Structural Parameters
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
Rida El-Allami
Alberto Marchisio
Mohamed Bennai
Ihsen Alouani
AAML
21
38
0
09 Dec 2020
A Low-cost Fault Corrector for Deep Neural Networks through Range
  Restriction
A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction
Zitao Chen
Guanpeng Li
Karthik Pattabiraman
AAML
AI4CE
28
17
0
30 Mar 2020
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