RA-BNN: Constructing Robust & Accurate Binary Neural Network to
Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

22 March 2021

Adnan Siraj Rakin

Papers citing "RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy"

3 / 3 papers shown

Title
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks Jialai Wang Ziyuan Zhang Meiqi Wang Han Qiu Tianwei Zhang Qi Li Zongpeng Li Tao Wei Chao Zhang AAML 22 20 0 27 Feb 2023
BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM Rows A. G. Yaglikçi Minesh Patel Jeremie S. Kim Roknoddin Azizi Ataberk Olgun ... Jisung Park Konstantinos Kanellopoulos Taha Shahroodi Saugata Ghose O. Mutlu 55 139 0 11 Feb 2021
Forward and Backward Information Retention for Accurate Binary Neural Networks Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei F. Yu Jingkuan Song MQ 125 324 0 24 Sep 2019