An isolated environment for DNS cache poisoning attack investigation and demonstration.
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Updated
Oct 27, 2021 - Python
An isolated environment for DNS cache poisoning attack investigation and demonstration.
Simulation of FL in python for Digit Recognition ML model. Simulated poisoning attacks and studies their impact.
Official Website of https://github.com/tamlhp/awesome-recsys-poisoning
Source code for our paper "Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data" (NeurIPS 2023 Workshop).
Research work on biometric security and template updation using Machine Learning.
Venom is an ARP-Poisoner that sniffs TLS requests to take advantage of SNI Leak and display all targets DNS traffic even if it is encrypted.
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers: Verification and Testing (university project for Cybersecurity)
Adversarial-Attacks-and-Defence
The code for ACM MM2024 (Multimodal Unlearnable Examples: Protecting Data against Multimodal Contrastive Learning)
This repository contains the code for our USENIX Security'23 paper "PORE: Provably Robust Recommender Systems against Data Poisoning Attacks"
dnspoison inyecta respuestas dns con IP host falso
Membership inference attacks on (poisoned) segmentation models; TUM master's thesis
Paper "An LLM-Assisted Easy-to-Trigger Poisoning Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection"
[Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
Implementations on Security and Privacy in ML; Evasion Attack, Model Stealing, Model Poisoning, Membership Inference Attacks, ...
My experiments in weaponizing ONOS applications (https://github.com/opennetworkinglab/onos)
A Semi-supervised learning model (Ladder Network) to classify MNIST digits. A few attacks were executed on it with the target of misclassifying 4s with 9s.
Code for "Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating"
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