Mar 24, 2024 · In this paper, we aim to bridge this gap and study the possibility of conducting malicious attacks leveraging machine unlearning.
In this paper, we consider an impor- tant attack form called backdoor attack, where an attacker aims to inject a hidden backdoor into a machine learning model ...
Jan 24, 2022 · In this paper, we propose BAERASE, a novel method that can erase the backdoor injected into the victim model through machine unlearning.
We propose a novel black-box backdoor attack based on machine unlearning. The attacker first augments the training set with carefully designed samples.
Missing: via | Show results with:via
In this work, we propose a novel black-box backdoor attack based on machine unlearning. The attacker first augments the training set with carefully designed.
Oct 22, 2024 · In this paper, we aim to bridge this gap and study the possibility of conducting malicious attacks leveraging machine unlearning. Specifically, ...
Backdoor injection attack is an emerging threat to the security of neural networks, however, there still exist limited effective defense methods against the ...
People also ask
What is backdoor attack in machine learning?
What is a real life example of a backdoor attack?
What is the most common backdoor attack?
What is a backdoor attack?
A novel black-box backdoor attack based on machine unlearning that can successfully implant backdoor into the model, and sharding increases the difficulty ...
Nov 29, 2024 · Background: A backdoor attack controls the output of a machine learning model in 2 stages. First, the attacker poisons the training data set, ...
It employs a gradient ascent-based machine unlearning method to erase the backdoor. • The Neural Cleanse method [50] is based on the as- sumption that ...