Investigating the Impact of Quantization on Adversarial Robustness

Investigating the Impact of Quantization on Adversarial Robustness

8 April 2024

Chen Tang

Papers citing "Investigating the Impact of Quantization on Adversarial Robustness"

5 / 5 papers shown

Title
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs Amira Guesmi B. Ouni Muhammad Shafique MQ AAML 36 0 0 10 Mar 2025
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks Amira Guesmi B. Ouni Muhammad Shafique AAML 79 0 0 22 Nov 2024
A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services Dewant Katare Diego Perino J. Nurmi M. Warnier Marijn Janssen Aaron Yi Ding 34 36 0 13 Apr 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 363 75,888 0 18 May 2015