Pinned Repositories
ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
Attacks-on-Machine-Learning
Survey of attacks on not just only Machine Learning, but Deep Learning
membership-inference-machine-learning-literature
membership-inference-via-backdooring
ML-Privacy-Regulization
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
SIAs-Beyond_MIAs_in_Federated_Learning
source-inference-FL
HongshengHu's Repositories
HongshengHu/membership-inference-machine-learning-literature
HongshengHu/source-inference-FL
HongshengHu/membership-inference-via-backdooring
HongshengHu/SIAs-Beyond_MIAs_in_Federated_Learning
HongshengHu/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
HongshengHu/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
HongshengHu/Attacks-on-Machine-Learning
Survey of attacks on not just only Machine Learning, but Deep Learning
HongshengHu/awesome-ml-privacy-attacks
HongshengHu/backdoor_federated_learning
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
HongshengHu/BlindMI
HongshengHu/datasets
Processed datasets that we have used in our research
HongshengHu/entangled-watermark
HongshengHu/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
HongshengHu/Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
HongshengHu/FedGen
Code and data accompanying the FedGen paper
HongshengHu/FedProx
Federated Optimization in Heterogeneous Networks (MLSys '20)
HongshengHu/FRAUD-Detect
Official implementation of Washing The Unwashable : On The (Im)possibility of Fairwashing Detection, NeurIPS 2022
HongshengHu/GAN-Leaks
Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
HongshengHu/graph-adversarial-learning-literature
A curated list of adversarial attacks and defenses papers on graph-structured data.
HongshengHu/Hidden-Trigger-Backdoor-Attacks
Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
HongshengHu/HongshengHu
HongshengHu/label-consistent-backdoor-code
Code for "Label-Consistent Backdoor Attacks"
HongshengHu/membership-inference-evaluation
Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
HongshengHu/NDSS21-Model-Poisoning
Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"
HongshengHu/privacy
Library for training machine learning models with privacy for training data
HongshengHu/pull-request-test
create a pull request test repo
HongshengHu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
HongshengHu/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
HongshengHu/vision
Datasets, Transforms and Models specific to Computer Vision
HongshengHu/WatermarkNN
Watermarking Deep Neural Networks (USENIX 2018)