Topic: privacy-preserving-machine-learning Goto Github

👇 Here are 80 public repositories matching this topic...

alanpeng0897 / defend_mi
privacy-preserving-machine-learning,Bilateral Dependency Optimization: Defending Against Model-inversion Attacks
User: alanpeng0897
Home Page: https://arxiv.org/pdf/2206.05483.pdf
model-inversion-attacks privacy-preserving-machine-learning

amartya18x / tapas
privacy-preserving-machine-learning,Tricks for Accelerating (encrypted) Prediction As a Service
User: amartya18x
Home Page: https://amartya18x.github.io/tapas
privacy-preserving-machine-learning binary-neural-networks homomorphic-encryption

appfl / appfl
privacy-preserving-machine-learning,Advanced Privacy-Preserving Federated Learning framework
Organization: appfl
Home Page: https://appfl.ai
federated-learning-framework privacy-preserving-machine-learning

athenarc / smpc-analytics
privacy-preserving-machine-learning,📊 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.
Organization: athenarc
Home Page: https://mhmd.madgik.di.uoa.gr/
smpc-analytics mpc privacy-preserving privacy-preserving-machine-learning privacy-preserving-analytics privacy histograms decision-trees

awslabs / fast-differential-privacy
privacy-preserving-machine-learning,Fast, memory-efficient, large-scale distributed optimization with differential privacy
Organization: awslabs
deep-learning differential-privacy neural-network privacy-preserving-machine-learning

ayushm-agrawal / federated-learning-implementations
privacy-preserving-machine-learning,This repository contains all the implementation of different papers on Federated Learning
User: ayushm-agrawal
federated-learning pytorch pytorch-implementation privacy-preserving-machine-learning fedavg fedprox

barlettacarmen / crcnn
privacy-preserving-machine-learning,Crypto-Convolutional Neural Network library written on top of SEAL 2.3.1
User: barlettacarmen
homomorphic-encryption convolutional-neural-networks seal cryptography privacy-preserving-machine-learning

chamathpali / fedsim
privacy-preserving-machine-learning,Similarity Guided Model Aggregation for Federated Learning
User: chamathpali
federated-learning deep-learning machine-learning privacy-preserving-machine-learning

cicada-mpc / cicada-mpc
privacy-preserving-machine-learning,Fault-tolerant secure multiparty computation in Python.
Organization: cicada-mpc
Home Page: https://cicada-mpc.readthedocs.io
mpc multi-party-computation multiparty-computation privacy-enhancing-technologies privacy-preserving-computing privacy-preserving-machine-learning secret-sharing secure-computation secure-multi-party-computation secure-multiparty-computation

d0mih / does-clip-know-my-face
privacy-preserving-machine-learning,Source Code for the Paper "Does CLIP Know my Face?" (Demo: https://huggingface.co/spaces/AIML-TUDA/does-clip-know-my-face)
User: d0mih
Home Page: https://arxiv.org/abs/2209.07341
clip deep-learning privacy-preserving-machine-learning ai multimodal

dilawarm / federated
privacy-preserving-machine-learning,Bachelor's Thesis in Computer Science: Privacy-Preserving Federated Learning Applied to Decentralized Data
User: dilawarm
Home Page: https://federated-docs.firebaseapp.com/
federated-learning homomorphic-encryption differential-privacy tensorflow privacy-preserving-machine-learning security

discreetai / decentralized-ml
privacy-preserving-machine-learning,Full stack service enabling decentralized machine learning on private data
Organization: discreetai
Home Page: https://discreetai.com
machine-learning decentralized-machine-learning federated-learning python javascript privacy privacy-enhancing-technologies privacy-preserving-machine-learning deep-learning deep-neural-networks

eric-ai-lab / fedvln
privacy-preserving-machine-learning,[ECCV 2022] Official pytorch implementation of the paper "FedVLN: Privacy-preserving Federated Vision-and-Language Navigation"
Organization: eric-ai-lab
federated-learning privacy-preserving-machine-learning vision-and-language-navigation

ethicalml / awesome-production-machine-learning
privacy-preserving-machine-learning,A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Organization: ethicalml
Home Page: https://ethical.institute/principles.html
machine-learning mlops interpretability explainability responsible-ai deep-learning machine-learning-operations ml-ops ml-operations privacy-preserving

figlab / vid2doppler
privacy-preserving-machine-learning,This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.
Organization: figlab
doppler human-activity-recognition human-computer-interaction human-pose-tracking privacy-preserving-machine-learning

giorgiopeng / bagpipe
privacy-preserving-machine-learning,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.
User: giorgiopeng
Home Page: https://giorgiopeng.github.io/FYP
front-end-machine-learning time-series data-mining data-visualization privacy-preserving-machine-learning tensorflow-js

hharcolezi / ldp-protocols-mobility-cdrs
privacy-preserving-machine-learning,Implementation of local differential privacy mechanisms in Python language.
User: hharcolezi
differential-privacy local-differential-privacy privacy-preserving-machine-learning privacy ldp data-privacy differential-privacy-deep-learning machine-learning

inaccel / heflow
privacy-preserving-machine-learning,Open source platform for the privacy-preserving machine learning lifecycle
Organization: inaccel
homomorphic-encryption privacy-preserving-machine-learning

innovation-cat / awesome-federated-machine-learning
privacy-preserving-machine-learning,Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
User: innovation-cat
federated-learning machine-learning deep-learning privacy-preserving-machine-learning computer-vision distributed-computing edge-computing security differential-privacy

jiangchso / pflm
privacy-preserving-machine-learning,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.
User: jiangchso
privacy-preserving privacy-preserving-machine-learning federated-learning membership blockchain

jopasserat / federated-learning-tutorial
privacy-preserving-machine-learning,Hands-on part of the Federated Learning and Privacy-Preserving ML tutorial given at VISUM 2022
User: jopasserat
differential-privacy dp-sgd federated-learning flower medical-imaging opacus ppml privacy-enhancing-technologies privacy-preserving-machine-learning

jphall663 / awesome-machine-learning-interpretability
privacy-preserving-machine-learning,A curated list of awesome responsible machine learning resources.
User: jphall663
fairness xai interpretability transparency machine-learning data-science python r awesome awesome-list

k80trombetta / privacypreservingmachinelearning
privacy-preserving-machine-learning,Privacy preserving supervised machine learning model uses a private aggregation of teacher ensembles technique and Laplacian Noise to protect training on sensitive network traffic data.
User: k80trombetta
machine-learning privacy-preserving-machine-learning scikit-learn data-science data-analysis data-visualization network-dataset python

latticex-foundation / rosetta
privacy-preserving-machine-learning,A Privacy-Preserving Framework Based on TensorFlow
Organization: latticex-foundation
privacy-preserving-machine-learning secure-multiparty-computation homomorphic-encryption zero-knowledge-proofs federated-learning secure-computation

leriomaggio / ppml-tutorial
privacy-preserving-machine-learning,Privacy-Preserving Machine Learning (PPML) Tutorial
User: leriomaggio
data-science deep-learning machine-learning privacy-enhancing-technologies privacy-preserving privacy-preserving-machine-learning trustworthy-machine-learning tutorial

lucieno / gforce-public
privacy-preserving-machine-learning,A crypto-assisted framework for protecting the privacy of models and queries in inference.
User: lucieno
Home Page: https://lucieno.github.io/
secure-computation privacy-preserving-machine-learning cryptography python pytorch

lukasstruppek / plug-and-play-attacks
privacy-preserving-machine-learning,[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".
User: lukasstruppek
Home Page: https://proceedings.mlr.press/v162/struppek22a.html
face-recognition privacy-preserving-machine-learning privacy-attacks model-inversion machine-learning stylegan2 model-inversion-attacks

microsoft / responsible-ai-toolbox-privacy
privacy-preserving-machine-learning,A library for statistically estimating the privacy of ML pipelines from membership inference attacks
Organization: microsoft
machine-learning privacy-preserving-machine-learning

microsoft / robustdg
privacy-preserving-machine-learning,Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Organization: microsoft
machine-learning domain-generalization causality privacy-preserving-machine-learning artificial-intelligence

mikeroyal / differential-privacy-guide
privacy-preserving-machine-learning,Differential Privacy Guide
User: mikeroyal
privacy-enhancing-technologies machine-learning privacy decentralization decentralized decentralized-applications deep-learning privacy-preserving privacy-preserving-machine-learning privacy-protection

ml-research / to-trust-or-not-to-trust-prediction-scores-for-membership-inference-attacks
privacy-preserving-machine-learning,Source code for our IJCAI-ECAI 2022 paper "To Trust or Not To Trust Prediction Scores for Membership Inference Attacks"
Organization: ml-research
Home Page: https://doi.org/10.24963/ijcai.2022/422
machine-learning membership-inference-attack privacy-preserving-machine-learning

mmalekzadeh / privacy-preserving-bandits
privacy-preserving-machine-learning,Privacy-Preserving Bandits (MLSys'20)
User: mmalekzadeh
Home Page: https://proceedings.mlsys.org/paper/2020/hash/42a0e188f5033bc65bf8d78622277c4e-Abstract.html
bandit-algorithms differential-privacy machine-learning online-machine-learning reinforcement-learning contextual-bandits privacy-preserving-machine-learning privacy-preserving-bandits criteo-dataset federated-learning

pengyuan-zhou / privacy-preserving-computation-paperlist
privacy-preserving-machine-learning,Paper list and relevant material for Privacy-Preserving Computation.
User: pengyuan-zhou
differential-privacy ethical-artificial-intelligence ethics fairness federated-learning mpc multiparty-computation privacy-preserving-machine-learning robustness secure-multi-party-computation

peter-yh-wu / speech-privacy
privacy-preserving-machine-learning,Understanding the Tradeoffs in Client-side Privacy for Downstream Speech Tasks
User: peter-yh-wu
voice-conversion voiceconversion privacy-preserving-machine-learning speech-privacy client-side-privacy

pytorch / opacus
privacy-preserving-machine-learning,Training PyTorch models with differential privacy
Organization: pytorch
Home Page: https://opacus.ai
differential-privacy privacy-preserving-machine-learning deep-learning machine-learning neural-network pytorch

securefederatedai / openfl
privacy-preserving-machine-learning,An open framework for Federated Learning.
Organization: securefederatedai
Home Page: https://openfl.readthedocs.io/en/latest/index.html
federated-learning secure-computation openfl distributed-computing deep-learning collaborative-learning privacy-preserving-machine-learning machine-learning fedprox fedavg

shreya-28 / secure-ml
privacy-preserving-machine-learning,Secure Linear Regression in the Semi-Honest Two-Party Setting.
User: shreya-28
secure-ml secure-multi-party-computation linear-regression privacy-preserving-machine-learning

sisaman / gap
privacy-preserving-machine-learning,GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
User: sisaman
deep-learning pytorch differential-privacy graph-neural-networks pytorch-geometric graph-deep-learning privacy-preserving-machine-learning

sisaman / progap
privacy-preserving-machine-learning,ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees (WSDM 2024)
User: sisaman
deep-learning differential-privacy graph graph-algorithms graph-deep-learning graph-neural-networks privacy privacy-preserving-machine-learning pytorch pytorch-geometric

smarthomeprivacyproject / deepvcfingerprinting
privacy-preserving-machine-learning,
Organization: smarthomeprivacyproject
deeplearning privacy-preserving-machine-learning networksecurity

snwagh / falcon-public
privacy-preserving-machine-learning,Implementation of protocols in Falcon
User: snwagh
multi-party-computation secure-computation privacy-enhancing-technologies privacy-preserving-machine-learning

snwagh / securenn-public
privacy-preserving-machine-learning,Implementation of protocols in SecureNN.
User: snwagh
multi-party-computation private-deep-learning privacy-preserving-machine-learning

stefanrmmr / differentially_private_synthetic_data
privacy-preserving-machine-learning,Differentially Private Synthetic Data Generation [DP-SDG] - Experimental Setups & Knowledge Base - WORK IN PROGRESS
User: stefanrmmr
synthetic-data synthetic-dataset-generation data-anonymization data-analysis data-anonymity sensitive-data-security quasi-identifiers privacy-enhancing-technologies privacy privacy-preserving-machine-learning

trailofbits / privacyraven
privacy-preserving-machine-learning,Privacy Testing for Deep Learning
Organization: trailofbits
machine-learning deep-learning python privacy privacy-preserving-machine-learning privacy-enhancing-technologies membership-inference model-extraction model-inversion

ttitcombe / nopeeknn
privacy-preserving-machine-learning,PyTorch implementation of NoPeekNN
User: ttitcombe
nopeeknn pytorch splitnn privacy-preserving-machine-learning privacy-preserving split-neural-network

tusharsoni08 / federated-recommendation-system
privacy-preserving-machine-learning,privacy preserving recommendation system research project as research engineer of https://www.openmined.org community
User: tusharsoni08
openmined federated-learning machine-learning privacy-preserving-machine-learning recommendation-system research-project

ucbrise / piranha
privacy-preserving-machine-learning,Piranha: A GPU Platform for Secure Computation
Organization: ucbrise
gpu-acceleration multi-party-computation privacy-preserving-machine-learning

um-dsp / pricure
privacy-preserving-machine-learning,PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
User: um-dsp
privacy privacy-preserving-machine-learning differential-privacy secure-multi-party-computation secret-sharing

vingstar / privateai_papers_and_libs
privacy-preserving-machine-learning,latest papers and opensource libraries for privacy-preserving AI tech
User: vingstar
privacy-preserving-machine-learning multiparty-computation mpc

yamanalab / pp-cnn
privacy-preserving-machine-learning,Privacy Preserving Convolutional Neural Network using Homomorphic Encryption for secure inference
Organization: yamanalab
privacy-preserving-machine-learning private-deep-learning ppml