ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.13874
  4. Cited By
A Low-cost Fault Corrector for Deep Neural Networks through Range
  Restriction

A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction

30 March 2020
Zitao Chen
Guanpeng Li
Karthik Pattabiraman
    AAML
    AI4CE
ArXivPDFHTML

Papers citing "A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction"

5 / 5 papers shown
Title
Hardware Resilience Properties of Text-Guided Image Classifiers
Hardware Resilience Properties of Text-Guided Image Classifiers
Syed Talal Wasim
Kabila Haile Soboka
Abdulrahman Mahmoud
Salman Khan
David Brooks
Gu-Yeon Wei
VLM
27
1
0
23 Nov 2023
Fault-Aware Design and Training to Enhance DNNs Reliability with
  Zero-Overhead
Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead
Niccolò Cavagnero
F. F. dos Santos
Marco Ciccone
Giuseppe Averta
Tatiana Tommasi
Paolo Rech
AAML
AI4CE
19
8
0
28 May 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
Muhammad Shafique
34
13
0
18 Apr 2022
Towards a Safety Case for Hardware Fault Tolerance in Convolutional
  Neural Networks Using Activation Range Supervision
Towards a Safety Case for Hardware Fault Tolerance in Convolutional Neural Networks Using Activation Range Supervision
Florian Geissler
S. Qutub
S. Roychowdhury
Ali Asgari Khoshouyeh
Ya-li Peng
Akash Dhamasia
Ralf Graefe
Karthik Pattabiraman
Michael Paulitsch
AAML
16
12
0
16 Aug 2021
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and
  Fault-Injection Attacks
Exploiting Vulnerabilities in Deep Neural Networks: Adversarial and Fault-Injection Attacks
Faiq Khalid
Muhammad Abdullah Hanif
Muhammad Shafique
AAML
SILM
13
9
0
05 May 2021
1