Labs and project for NYU Tandon ML for CyberSecurity course.
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Updated
Dec 23, 2020 - Jupyter Notebook
Labs and project for NYU Tandon ML for CyberSecurity course.
Project SAANP : Implementation of Backdoor using Python
Code of the IEEE UV2022 accepted paper "MSDT: Masked Language Model Scoring Defense in Text Domain"
All code and data necessary to replicate experiments in the paper BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models.
This is a python based malware deployment and staging system used for red teaming purpose. Similar to Cobal Strike and other tools and can be used with other tools.
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers: Verification and Testing (university project for Cybersecurity)
Assignments and projects from the interpretable artificial intelligence course offered at the University of Tehran.
Simple code about cyber security
Fast integration of backdoor attacks in machine learning and federated learning.
Simple backdoor written in python. Use for educational purposes only
Source code for our paper "Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data" (NeurIPS 2023 Workshop).
This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.
Backdoor Stuff in AI/ ML domain
Segmentation Based Backdoor Attack Detection ICMLC2020
Trojan Attack Against DeepFM in Federated Learning.
A repository about literature of copyright protection in deep learning.
[Findings of EMNLP 2022] Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks
Implementation of "Beating Backdoor Attack at Its Own Game" (ICCV-23).
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