SoftwareApplication
name: Code supporting the publication: Can you hear it? backdoor attacks via ultrasonic triggers.
description: Code supporting the publication: Can you hear it? backdoor attacks via ultrasonic triggers.
description: Software that used to run all the experiments in the paper Koffas, Stefanos, et al. "Can you hear it? backdoor attacks via ultrasonic triggers." Proceedings of the 2022 ACM workshop on wireless security and machine learning. 2022. In this project we have implemented a backdoor attack in a keyword spotting application through an ultrasonic trigger.
code repository: https://data.4tu.nl/v3/datasets/5ea25768-045a-426c-9b1d-3e823ab64807.git
author: https://orcid.org/0000-0001-6543-4801
keywords: Physical Backdoor
keywords: Mobile Application
keywords: Inaudible trigger
keywords: backdoor attack
keywords: keyword spotting
keywords: deep learning
programming language: Other
programming language: Python
programming language: Shell
license:
  creative work: creativeWork
    name: MIT
reference publication: 3522783.3529523

https://orcid.org/0000-0001-6543-4801
type: Person
given name: Stefanos
family name: Koffas
name: Stefanos Koffas

3522783.3529523
type: ScholarlyArticle
name: Can You Hear It?
pagination: 57-62
url: https://doi.org/10.1145%2F3522783.3529523