Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs-Reference-Cited by-同舟云学术

Mind the Scaling Factors: Resilience Analysis of Quantized Adversarially Robust CNNs

Published:2022-03-14 Issue: Volume: Page:
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Container-title:2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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Author:

Fasfous Nael¹,Frickenstein Lukas²,Neumeier Michael¹,Vemparala Manoj Rohit²,Frickenstein Alexander²,Valpreda Emanuele³,Martina Maurizio³,Stechele Walter¹

Affiliation:

1. Technical University of Munich,Department of Electrical and Computer Engineering,Germany

2. BMW Group,Autonomous Driving,Germany

3. Politecnico di Torino,Department of Electronics and Telecommunications,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9774496/9774497/09774686.pdf?arnumber=9774686

Reference15 articles.

1. Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser

2. Explaining and Harnessing Adversarial Examples;goodfellow;ICLRE,0

3. Towards Deep Learning Models Resistant to Adversarial Attacks;madry;ICLRE,0

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