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23 search results found

Adversarial Robustness Toolbox ⭐ 4,420

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Pfllib ⭐ 1,176

We expose this user-friendly algorithm library (with an integrated evaluation platform) for beginners who intend to start federated learning (FL) study

Ml_privacy_meter ⭐ 501

Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

Awesome Ml Privacy Attacks ⭐ 488

An awesome list of papers on privacy attacks against machine learning

Deep Spying ⭐ 173

Spying using Smartwatch and Deep Learning

Privacyraven ⭐ 172

Privacy Testing for Deep Learning

Robustdg ⭐ 160

Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.

Evaluatingdpml ⭐ 112

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

A library for running membership inference attacks against ML models

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

Membership Inference ⭐ 68

Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

Membership Inference Evaluation ⭐ 22

Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models

Ppp Ccs2018 ⭐ 17

An investigative study on the security and privacy aspects of Progressive Web Apps

Edge2guard ⭐ 12

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Federated Learning ⭐ 12

Related material on Federated Learning

Whitepaper ⭐ 12

Security Research Membership Inference And Differential Privacy ⭐ 10

SAP Security Research sample code to reproduce the research done in our paper "Comparing local and central differential privacy using membership inference attacks".

Minimaxfilter ⭐ 9

A learning approach to privacy preservation against inference attacks

Attack_splitnn ⭐ 9

reveal the vulnerabilities of SplitNN

This repository contains code and data for "Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks" paper, published in PETS 2020.

Graphleaks ⭐ 8

Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020

Recursive Gradient Attack on Privacy

Privacy-preserving Voice Analysis via Disentangled Representations

Genoguard ⭐ 5

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