chamikara1986 Goto Github PK

abigsurvey

A collection of 500+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

attack-adaptive-aggregation-in-federated-learning

This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-federated-learning

A collection of research papers categorized into broad topics in federated learning.

awesome-federated-machine-learning

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

awesome-he

✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources

awesome-ml-privacy-attacks

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-privacy

Repository for collection of research papers on privacy.

awesome-public-datasets

A topic-centric list of HQ open datasets.

awesome-sentiment-analysis

😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤

ba-bam

Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches

cifar10-cnn-keras

Demonstrated some basic CNN models using CIFAR 10

cifar10-gan

Produce images based on the cifar10 dataset using generative adversarial neural networks

conditional-gan-cifar-10

Conditional GAN implemented on the CIFAR-10 dataset

cs211-data-privacy

data-preprocessing-python

deep-learning-with-differential-privacy

An implementation of Deep Learning with Differential Privacy

deepchecks

Test Suites for Validating ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort.

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

dncnn

Image Denoising with Residual Learning

dp-generative-models

Differentially Private (tabular) Generative Models Papers with Code

dpcopula_kendall

the DPCopula-Kendall algorithm developed by Li, Xiong & Jiang (2014)

dpgan

Source code of paper "Differentially Private Generative Adversarial Network"

dpwgan

ehr_i2b2_emrqa

Code for the emrQA question answering dataset

evaluatingdpml

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

facenet

Face recognition usage example