Simulation of FL in python for Digit Recognition ML model. Simulated poisoning attacks and studies their impact.
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Updated
Jul 3, 2022 - Python
Simulation of FL in python for Digit Recognition ML model. Simulated poisoning attacks and studies their impact.
An isolated environment for DNS cache poisoning attack investigation and demonstration.
Official Website of https://github.com/tamlhp/awesome-recsys-poisoning
Adversarial-Attacks-and-Defence
Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers: Verification and Testing (university project for Cybersecurity)
dnspoison inyecta respuestas dns con IP host falso
Source code for our paper "Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned Data" (NeurIPS 2023 Workshop).
Membership inference attacks on (poisoned) segmentation models; master's thesis
Can Adversarial training defend against Poisoning attacks?
This repo contains the implementation for PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
Research work on biometric security and template updation using Machine Learning.
Implementations on Security and Privacy in ML; Evasion Attack, Model Stealing, Model Poisoning, Membership Inference Attacks, ...
Implementation of the dns cache poisoning attack reloaded (ACM CCS '20) replication.
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.
Perception Poisoning Attacks in Federated Learning
Course Project for EE782. IIT Bombay, Autumn 2019
FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).
An isolated environment for DNS cache poisoning attack investigation and demonstration.
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