Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching

Author:

Ozdenizci Ozan1,Legenstein Robert1

Affiliation:

1. Institute of Theoretical Computer Science, Graz University of Technology,Graz,Austria

Publisher

IEEE

Reference49 articles.

1. p-Box ADMM: A Versatile Framework for Integer Programming

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1. ALERT: A lightweight defense mechanism for enhancing DNN robustness against T-BFA;Journal of Systems Architecture;2024-07

2. Defending T-BFA in DNNs Efficiently via Random Security-Sensitive Weights Switching;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

3. A Survey of Bit-Flip Attacks on Deep Neural Network and Corresponding Defense Methods;Electronics;2023-02-08

4. Security Threat to the Robustness of RRAM-based Neuromorphic Computing System;2022 IEEE International Symposium on Smart Electronic Systems (iSES);2022-12

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