A survey of bit-flip attacks on deep neural network and corresponding defense methods
C Qian, M Zhang, Y Nie, S Lu, H Cao - Electronics, 2023 - mdpi.com
As the machine learning-related technology has made great progress in recent years, deep
neural networks are widely used in many scenarios, including security-critical ones, which …
neural networks are widely used in many scenarios, including security-critical ones, which …
Rowhammer Attacks in Dynamic Random-Access Memory and Defense Methods
This paper provides a comprehensive overview of the security vulnerability known as
rowhammer in Dynamic Random-Access Memory (DRAM). While DRAM offers many …
rowhammer in Dynamic Random-Access Memory (DRAM). While DRAM offers many …
A closer look at evaluating the bit-flip attack against deep neural networks
Deep neural network models are massively deployed on a wide variety of hardware
platforms. This results in the appearance of new attack vectors that significantly extend the …
platforms. This results in the appearance of new attack vectors that significantly extend the …
Attacking Graph Neural Networks with Bit Flips: Weisfeiler and Leman Go Indifferent
Prior attacks on graph neural networks have focused on graph poisoning and evasion,
neglecting the network's weights and biases. For convolutional neural networks, however …
neglecting the network's weights and biases. For convolutional neural networks, however …