对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料
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Updated
Jun 3, 2019
对抗样本(Adversarial Examples)和投毒攻击(Poisoning Attacks)相关资料
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
A repository to quickly generate synthetic data and associated trojaned deep learning models
Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective".
Example of using ELF hacking to inject malicious code into a target binary
A Survey of Poisoning Attacks and Defenses in Recommender Systems
[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition
Code for "Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating"
My experiments in weaponizing ONOS applications (https://github.com/opennetworkinglab/onos)
Source code for the Energy-Latency Attacks via Sponge Poisoning paper.
An isolated environment for DNS cache poisoning attack investigation and demonstration.
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.
[Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping
FedDefender is a novel defense mechanism designed to safeguard Federated Learning from the poisoning attacks (i.e., backdoor attacks).
Course Project for EE782. IIT Bombay, Autumn 2019
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
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