backdooring-semantic-loss-with-wanet
Benchmarking the robustness of Neuro Symbolic Models against Backdoor Attacks using Semantic Loss and WaNet
https://github.com/francescohamar/backdooring-semantic-loss-with-wanet
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Benchmarking the robustness of Neuro Symbolic Models against Backdoor Attacks using Semantic Loss and WaNet
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Metadata Files
README.md
Backdooring Semantic Loss with WaNet
This repository is part of the bachelor thesis concluding the BSc Computer Science & Engineering, for the Research Project 2025 of TU Delft.
Project Directory
Constraint sets
All constraint sets used in the form of a constraints.txt can be found in the data correlation and constraint sets directory.
Output
Almost all output mentioned in the paper is also shown in the repository, separated into three folder by poison rate.
In each folder there are 4 subfolder. Backdoor and Clean give example images of how the classification was going at the last epoch. The general folder graphs about the performance, and the full folder has raw output with arrays of values, all labeled in a txt file.
Scripts
During the project some scripts were used for image generation and data processing, some of these were saved and can be found in the scripts folder.
The model
The main runnable code can be found in the Semantic Loss Model folder. This folder also contains another README.md with further information.
About the results
Some results can be observed from the figures in the appropriate folder, but of course for further information please refer to the full paper.
Contact
For any question please refer to F.Hamar@student.tudelft.nl or francesco.hamar@gmail.com
Owner
- Name: Francesco Hamar
- Login: FrancescoHamar
- Kind: user
- Location: Delft
- Repositories: 1
- Profile: https://github.com/FrancescoHamar
🏫 Studying Computer Science and Engineering at TU Delft.
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: Hamar
given-names: Francesco
title: "Evaluating the Robustness of Neuro-Symbolic Networks Against Backdoor Threats with WaNet and Semantic Loss"
version: 1.0.0
date-released: 2025-06-19
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