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. 2008.11298
  4. Cited By
Rethinking Non-idealities in Memristive Crossbars for Adversarial
  Robustness in Neural Networks

Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks

25 August 2020
Abhiroop Bhattacharjee
Priyadarshini Panda
    AAML
ArXivPDFHTML

Papers citing "Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks"

5 / 5 papers shown
Title
Design of secure and robust cognitive system for malware detection
Design of secure and robust cognitive system for malware detection
Sanket Shukla
AAML
19
2
0
03 Aug 2022
Examining the Robustness of Spiking Neural Networks on Non-ideal
  Memristive Crossbars
Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
30
15
0
20 Jun 2022
Efficiency-driven Hardware Optimization for Adversarially Robust Neural
  Networks
Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
Abhiroop Bhattacharjee
Abhishek Moitra
Priyadarshini Panda
AAML
19
8
0
09 May 2021
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic
  Hardware
Endurance-Aware Mapping of Spiking Neural Networks to Neuromorphic Hardware
Twisha Titirsha
Shihao Song
Anup Das
J. Krichmar
N. Dutt
Nagarajan Kandasamy
F. Catthoor
30
40
0
09 Mar 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
293
3,110
0
04 Nov 2016
1