tejarshaarigila/FedAF

Python Implementation of Aggregation-Free Federated Learning (FedAF) and Federated Averaging (FedAvg) algorithms using PyTorch.

Language: Python - Size: 643 KB - Last synced at: about 5 hours ago - Pushed at: about 6 hours ago - Stars: 3 - Forks: 0

EthicalML/awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Size: 2.36 MB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 18,349 - Forks: 2,330

tamimalmahmud/LLM-Unlearning

The LLM-Unlearning repository is an open-source project dedicated to the concept of unlearning in Large Language Models (LLMs). It aims to address concerns about data privacy and ethical AI by exploring and implementing unlearning techniques that allow models to forget unwanted or sensitive data. This ensures that AI models comply with privacy.

Language: Python - Size: 69 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

APPFL/APPFL

Advanced Privacy-Preserving Federated Learning framework

Language: Python - Size: 66.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 115 - Forks: 22

microsoft/responsible-ai-toolbox-privacy

A library for statistically estimating the privacy of ML pipelines from membership inference attacks

Language: Python - Size: 531 KB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 35 - Forks: 8

innovation-cat/Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Size: 411 KB - Last synced at: 9 days ago - Pushed at: 11 months ago - Stars: 1,901 - Forks: 280

awslabs/fast-differential-privacy

Fast, memory-efficient, scalable optimization of deep learning with differential privacy

Language: Python - Size: 834 KB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 120 - Forks: 22

jphall663/awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Size: 4.09 MB - Last synced at: 9 days ago - Pushed at: 13 days ago - Stars: 3,757 - Forks: 599

pytorch/opacus

Training PyTorch models with differential privacy

Language: Jupyter Notebook - Size: 7.32 MB - Last synced at: 12 days ago - Pushed at: 17 days ago - Stars: 1,776 - Forks: 364

jimouris/curl

Curl: Private LLMs through Wavelet-Encoded Look-Up Tables

Language: Python - Size: 29 MB - Last synced at: 12 days ago - Pushed at: 14 days ago - Stars: 13 - Forks: 2

LatticeX-Foundation/Rosetta

A Privacy-Preserving Framework Based on TensorFlow

Language: C++ - Size: 16.8 MB - Last synced at: 6 days ago - Pushed at: almost 3 years ago - Stars: 556 - Forks: 111

ucbrise/piranha

Piranha: A GPU Platform for Secure Computation

Language: C++ - Size: 71.5 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 95 - Forks: 27

trailofbits/PrivacyRaven

Privacy Testing for Deep Learning

Language: Python - Size: 104 MB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 201 - Forks: 18

microsoft/robustdg

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

Language: Python - Size: 65.6 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 176 - Forks: 30

MarcT0K/privacy-carbon-experiments

Experiments to measure the carbon emissions induced by various privacy-enhancing technologies

Language: Jupyter Notebook - Size: 304 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

vt-asaplab/vPIN

Privacy-Preserving Verifiable Neural Network Inference Service

Language: Rust - Size: 24.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 13 - Forks: 0

AlanPeng0897/Defend_MI

[KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"

Language: Python - Size: 17.2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 24 - Forks: 6

stefanrmmr/differentially_private_synthetic_data

Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS

Language: Jupyter Notebook - Size: 5.23 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 2

mikeroyal/Differential-Privacy-Guide

Differential Privacy Guide

Language: Python - Size: 14.6 KB - Last synced at: 22 days ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 1

FIIT-ISA/ISA-course

Intelligent System Applications (ISA_I) @ FIIT STU in Bratislava

Language: Jupyter Notebook - Size: 77.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 1

TTitcombe/NoPeekNN

PyTorch implementation of NoPeekNN

Language: Jupyter Notebook - Size: 17.2 MB - Last synced at: 10 days ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 4

revupp-ai/data-masker

we respect your privacy

Language: Python - Size: 48.8 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

saranggalada/PRISM

PRISM: Privacy-preserving Inter-Site MRI Harmonization via Disentangled Representation Learning (Accepted for Oral Presentation at ISBI 2025!)

Language: Jupyter Notebook - Size: 4.49 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

D0miH/does-clip-know-my-face

Source Code for the JAIR Paper "Does CLIP Know my Face?" (Demo: https://huggingface.co/spaces/AIML-TUDA/does-clip-know-my-face)

Language: Jupyter Notebook - Size: 4.85 MB - Last synced at: 21 days ago - Pushed at: 10 months ago - Stars: 14 - Forks: 0

adwise-fiu/Level-Site-PPDT

Enhanced Outsourced and Secure Inference for Tall Sparse Decision Trees

Language: Java - Size: 14.6 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 2

chamathpali/FedSim

Similarity Guided Model Aggregation for Federated Learning

Language: Python - Size: 37 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 24 - Forks: 0

domiwk/didots

This is the repository for the paper "DiDOTS: Knowledge Distillation from Large-Language-Models for Dementia Obfuscation in Transcribed Speech"

Language: Python - Size: 2.32 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

onapte/federated-learning-smartgrids

Reupload of my project leveraging Federated Learning on Smart Grid data.

Language: Python - Size: 18.6 KB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 1

Crypto-TII/FANNG-MPC

Your GoTo Library for NN's over MPC

Language: Verilog - Size: 219 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

IanQS/pTensor

A numpy-like wrapper around PALISADE library for the intersection of Homomorphic Encryption and Machine Learning

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

leriomaggio/ppml-tutorial

Privacy-Preserving Machine Learning (PPML) Tutorial

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: 16 days ago - Pushed at: 11 months ago - Stars: 37 - Forks: 8

sisaman/ProGAP

ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees (WSDM 2024)

Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 2

LukasStruppek/Plug-and-Play-Attacks

[ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 38 - Forks: 10

rezafotohi/FedAnilPlusPlus

FedAnil++ is a Privacy-Preserving and Communication-Efficient Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil++ written in Python.

Language: Python - Size: 10.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 0

AminAminifar/kPPDERT_cloud

Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)

Language: Python - Size: 40.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

amartya18x/tapas

Tricks for Accelerating (encrypted) Prediction As a Service

Language: HTML - Size: 2.98 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 19 - Forks: 6

JiangChSo/PFLM

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guarantee security: the threshold t must be greater than half of the number of users. The assumption is so rigorous that in some scenarios the schemes may not be appropriate. Motivated by the issue, we first introduce membership proof for federated learning, which leverages cryptographic accumulators to generate membership proofs by accumulating users IDs. The proofs are issued in a public blockchain for users to verify. With membership proof, we propose a privacy-preserving federated learning scheme called PFLM. PFLM releases the assumption of threshold while maintaining the security guarantees. Additionally, we design a result verification algorithm based on a variant of ElGamal encryption to verify the correctness of aggregated results from the cloud server. The verification algorithm is integrated into PFLM as a part. Security analysis in a random oracle model shows that PFLM guarantees privacy against active adversaries. The implementation of PFLM and experiments demonstrate the performance of PFLM in terms of computation and communication.

Language: Jupyter Notebook - Size: 174 KB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 27 - Forks: 5

inaccel/heflow

Open source platform for the privacy-preserving machine learning lifecycle

Language: Python - Size: 80.1 KB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 17 - Forks: 1

Bsingstad/ECG-Federated-Learning

This project implements 6 different privacy-preserving collaborative learning methods for training multi-institutional ECG classification models.

Language: Jupyter Notebook - Size: 11.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Jumpst3r/tensorflow-lite-sgx

A port of the tensorflow-lite for microcontrollers framework to Intel's SGX Framework. Designed to simplify research of privacy preserving machine learning in the context of trusted execution environments (TEEs).

Language: C++ - Size: 25.3 MB - Last synced at: 1 day ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 4

canarybit/canarybit-heflp

Implementation of the Heflp, a framework enabling practical and overflow-safe federated learning.

Language: Python - Size: 537 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

ksheersaagr/Moms-Spaghetti

Stash of some of the most potent research papers, blogs and videos on AI which I liked.

Size: 732 KB - Last synced at: 8 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

zhewenshen/applied-cryptography-project

Language: Python - Size: 22 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

sousa-dev/sunergy-optimizer

(in development) Home assistant custom component aiming to help self-consumers optimize their energy use in local and private manner.

Language: Python - Size: 25.4 KB - Last synced at: 10 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

rezafotohi/FedAnilPlus

FedAnil+ is a novel lightweight, and secure Federated Deep Learning Model to address non-IID data, privacy concerns, and communication overhead. This repo hosts a simulation for FedAnil+ written in Python.

Language: Python - Size: 10.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

kirschte/dphelmet

Distributed DP-Helmet: Scalable Differentially Private Non-interactive Averaging of Single Layers

Language: Python - Size: 32.2 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

DiscreetAI/decentralized-ml

Full stack service enabling decentralized machine learning on private data

Language: Jupyter Notebook - Size: 76.6 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 59 - Forks: 6

birhanu-eshete/birhanu-eshete.github.io

Birhanu Eshete is an Associate Professor of Computer Science at the University of Michigan, Dearborn. His main research focus is in trustworthy machine learning with emphasis on security, safety, privacy, interpretability, fairness, and the dynamics thereof. He also studies online cybercrime and advanced and persistent threats (APTs).

Language: HTML - Size: 3.91 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

rezafotohi/FedAnil

FedAnil is a secure blockchain-enabled Federated Deep Learning Model to address non-IID data and privacy concerns. This repo hosts a simulation for FedAnil written in Python.

Language: Python - Size: 22.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

trustworthy-ml-course/trustworthy-ml-course.github.io

Trustworthy AI/ML course by Professor Birhanu Eshete, University of Michigan, Dearborn.

Language: HTML - Size: 1.98 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

amdjedbens/amdjedbens.github.io

Amdjed portfolio

Language: TeX - Size: 22.8 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

romech/fact-ai

Implementation for 'Interpretable Complex-Valued Neural Networks for Privacy Protection'

Language: Jupyter Notebook - Size: 3.85 MB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2

shreya-28/Secure-ML

Secure Linear Regression in the Semi-Honest Two-Party Setting.

Language: C++ - Size: 11 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 34 - Forks: 9

SmartHomePrivacyProject/DeepVCFingerprinting

Language: Python - Size: 68.1 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 6

yamanalab/PP-CNN

Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference

Language: C++ - Size: 67.5 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 42 - Forks: 13

tobiasschreieder/smartwatch-dtw-attack-scalable

Git-Repository for Research Project Re-Identification Attacks on Smartwatch Health Data

Language: Python - Size: 165 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

ml-research/To-Trust-or-Not-To-Trust-Prediction-Scores-for-Membership-Inference-Attacks

Source code for our IJCAI-ECAI 2022 paper "To Trust or Not To Trust Prediction Scores for Membership Inference Attacks"

Language: Jupyter Notebook - Size: 4.57 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 2

dilawarm/federated

Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data

Language: Python - Size: 12.2 MB - Last synced at: 11 months ago - Pushed at: almost 4 years ago - Stars: 34 - Forks: 6

abhinav-bohra/Privacy-Preserving-ML

Implementation of privacy-preserving SVM assuming public model private data scenario

Language: Jupyter Notebook - Size: 770 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

luckyos-code/mia-covid

Privacy in Practice: Private COVID-19 Detection in X-Ray Images

Language: Jupyter Notebook - Size: 249 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

khoaguin/ai-for-medicine

A Learning Journal on (Privacy-Preserving) AI for Medicine and Healthcare

Language: Jupyter Notebook - Size: 179 MB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

lab-secureai/Privacy-Preserving-Deep-Learning-Research-List

This list provides up-to-date resources pertaining to the research and development of privacy-preserving deep learning, with many of them cited in the paper titled "A Comprehensive Survey and Taxonomy on Privacy-Preserving Deep Learning".

Size: 195 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

EsadSimitcioglu/Adverserial-CAPTCHA

This is the repository for Project of COMP 530 Data Privacy and Security course given by Emre Gursoy at Koc University. Code is written by Esad Simitcioglu, Arman Torikoglu, and Alireza Khodaie

Language: Jupyter Notebook - Size: 4.66 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

athenarc/smpc-analytics 📦

📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.Sc. thesis at the University of Athens, Greece.

Language: Python - Size: 9.73 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 3

snwagh/falcon-public

Implementation of protocols in Falcon

Language: C++ - Size: 16.3 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 82 - Forks: 44

snwagh/securenn-public

Implementation of protocols in SecureNN.

Language: C++ - Size: 4.27 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 119 - Forks: 31

pyladiesams/privacy-aware-ml-ds-nov2023

Learn how to apply core privacy principles and techniques to the data science and machine learning workflows with Python open source libraries for privacy-preserving machine learning.

Size: 725 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

um-dsp/um-dsp.github.io

DSPLab@UMich-Dearborn Website

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jopasserat/federated-learning-tutorial

Hands-on part of the Federated Learning and Privacy-Preserving ML tutorial given at VISUM 2022

Language: Python - Size: 116 KB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

cicada-mpc/cicada-mpc

Fault-tolerant secure multiparty computation in Python.

Language: Python - Size: 5.56 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

GiorgioPeng/Bagpipe

Bagpipe is an offline timing series data mining platform based on pure front end. After loading, the whole process runs completely locally, without interaction with a third party. Data need not be transmitted through the network for analysis, which greatly ensures the security of users' privacy data.

Language: JavaScript - Size: 6.08 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2

pkini2002/HPE-Swarm-Learning

A more detailed description on the HPE Swarm Learning Installation guide. Official repo can be viewed on the url below:

Size: 18.6 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

vingstar/PrivateAI_papers_and_libs

latest papers and opensource libraries for privacy-preserving AI tech

Size: 63.5 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

reneroliveira/fhe-and-statistics

Undergraduate Thesis - A survey on fully homomorphic encryption (FHE) with statistical applications

Language: TeX - Size: 27.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MuhammadAshiqAmeer/Federated-Learning-Intel-OpenFL

The repository focuses on conducting Federated Learning experiments using the Intel OpenFL framework with diverse machine learning models, utilizing image and tabular datasets, applicable different domains like medicine, banking etc.

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

sisaman/GAP

GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)

Language: Jupyter Notebook - Size: 3.32 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 23 - Forks: 3

ppmlunb/pibic

O objetivo deste projeto de iniciação científica é estudar a área de Privacy Preserving Machine Learning (PPML), que se dedica a encontrar soluções para realizar aprendizado de máquina de forma segura e preservando a privacidade dos dados.

Size: 9.77 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

datakaveri/iudx-MOTION2NX

Extension of the MOTION2NX framework to implement neural network inferencing task where the data is supplied to the “secure compute servers” by the “data providers”.

Language: C++ - Size: 86.4 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 11

FIGLAB/Vid2Doppler

This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.

Language: Python - Size: 43.7 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 34 - Forks: 16

pengyuan-zhou/Privacy-Preserving-Computation-PaperList

Paper list and relevant material for Privacy-Preserving Computation.

Size: 8.79 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

tusharsoni08/federated-recommendation-system

privacy preserving recommendation system research project as research engineer of https://www.openmined.org community

Language: Jupyter Notebook - Size: 664 KB - Last synced at: 5 months ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 4

ayushm-agrawal/Federated-Learning-Implementations

This repository contains all the implementation of different papers on Federated Learning

Language: Jupyter Notebook - Size: 6.12 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 37 - Forks: 5

mmalekzadeh/privacy-preserving-bandits

Privacy-Preserving Bandits (MLSys'20)

Language: Jupyter Notebook - Size: 35.8 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 6

hharcolezi/ldp-protocols-mobility-cdrs

Implementation of local differential privacy mechanisms in Python language.

Language: Jupyter Notebook - Size: 8.43 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 3

peter-yh-wu/speech-privacy

Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks

Language: Python - Size: 22.5 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 1

um-dsp/PRICURE

PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting

Language: Jupyter Notebook - Size: 3.99 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 2

kubershahi/ashoka-capstone

Privacy Preserving Neural Networks (PPNN): Repo for Capstone Project at Ashoka

Language: C++ - Size: 73.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Lucieno/gforce-public

A crypto-assisted framework for protecting the privacy of models and queries in inference.

Language: Python - Size: 95.7 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 10 - Forks: 1

kargaranamir/Secure-and-Private-AI

This repository contains personal notes and summaries on Secure and Private AI

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 5 days ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

uplavikarnitish/PP-Multi-Task-Learning

Privacy-Preserving Multi-task Learning - Paper published at 2018 IEEE ICDM. Reference - K. Liu, N. Uplavikar, W. Jiang and Y. Fu, "Privacy-Preserving Multi-task Learning," 2018 IEEE International Conference on Data Mining (ICDM), Singapore, 2018, pp. 1128-1133, doi: 10.1109/ICDM.2018.00147.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

sastava007/Differential-Privacy

A project to simulate various differential privacy scenarios using OpenDp.

Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

ngshya/anon-ae

Data anonymization

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

ancile-project/PyPrivacy

Python Privacy framework

Language: Python - Size: 60.5 KB - Last synced at: 30 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0