Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2024
License: CC BY
Data sources: Datacite
ZENODO
Journal . 2025
License: CC BY
Data sources: Datacite
versions View all 5 versions
addClaim

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles

Authors: Jamshidiyan Tehrani, Masoud; Kim, Jinhan;

A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles

Abstract

Replication Package for the Paper "A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles" This repository contains the replication package associated with the paper titled "A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles." Contents ChatGPT_for_AVs.pdf: This document presents the results of a structured ChatGPT search aimed at identifying the relevant domains of autonomous vehicles, deep learning models and modules, and simulation environments. How to Replicate Install findpapers using the following command: pip install findpapers Open the send_query.py file to find the query used for paper extraction. Copy and execute the query to retrieve relevant research papers. Update the json_dir_path = './findpapers' variable in venue_filter.py to match the directory containing the list of downloaded papers. Execute venue_filter.py to filter papers based on the venues specified in the chosen_venues.txt file. The output will be a file named papers_after_venue_filter.csv, which includes the title, abstract, URL, venue, and publication date for each filtered paper. Note: The venue_freq.py script calculates the frequency of papers per venue, distinguishing between journal and conference venues. Running this script is optional and was primarily used during our venue selection process. Citation Tehrani, M. J., Kim, J., Foulefack, R. Z. L., Marchetto, A., & Tonella, P. (2024).A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles.https://arxiv.org/abs/2412.04510 @article{tehrani2024taxonomy, title={A Taxonomy of System-Level Attacks on Deep Learning Models in Autonomous Vehicles}, author={Tehrani, Masoud Jamshidiyan and Kim, Jinhan and Foulefack, Rosmael Zidane Lekeufack and Marchetto, Alessandro and Tonella, Paolo}, journal={arXiv preprint arXiv:2412.04510}, year={2024} }

Related Organizations
Keywords

Autonomous Vehicle Security, Deep Learning Security, Security Testing

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!