QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers

3 December 2023

Papers citing "QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers"

3 / 3 papers shown

Title
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech Alexis Conneau Min Ma Simran Khanuja Yu Zhang Vera Axelrod Siddharth Dalmia Jason Riesa Clara E. Rivera Ankur Bapna VLM 78 282 0 25 May 2022
A Review of Confidentiality Threats Against Embedded Neural Network Models Raphael Joud Pierre-Alain Moëllic Rémi Bernhard J. Rigaud 28 4 0 04 May 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 225 2,427 0 04 Jan 2021