scottshufe's Stars
ikatyang/emoji-cheat-sheet
A markdown version emoji cheat sheet
kakoni/awesome-healthcare
Curated list of awesome open source healthcare software, libraries, tools and resources.
johannfaouzi/pyts
A Python package for time series classification
hfawaz/dl-4-tsc
Deep Learning for Time Series Classification
sunlabuiuc/PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
jjbrophy47/machine_unlearning
Existing Literature about Machine Unlearning
stratosphereips/awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
cleverhans-lab/machine-unlearning
Nuclearstar/K-Anonymity
Anonymization methods for network security.
danielzuegner/gnn-meta-attack
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
liuyugeng/ML-Doctor
Code for ML Doctor
AdityaGolatkar/SelectiveForgetting
sisaman/GAP
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
lmgraves/AmnesiacML
Methods for removing learned data from neural nets and evaluation of those methods
liun-online/SpCo
The source code of SpCo
meghdadk/SCRUB
cleverhans-lab/dataset-inference
[ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
vikram2000b/bad-teaching-unlearning
Official repo of the paper Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks using an Incompetent Teacher accepted in AAAI 2023
NDS-VU/awesome-gnn-privacy
This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (GNNs).
epfl-dlab/property-inference-attacks
Modular framework for property inference attacks on deep neural networks
iyempissy/rebMIGraph
xinleihe/Semi-Leak
inspire-group/MIAdefenseSELENA
[USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
yxoh/prompt_leak_usenix2024
DmsKinson/DPMLBench
This repository contains the implementation of DPMLBench: Holistic Evaluation of Differentially Private Machine Learning
smehnaz/Black-box-Model-Inversion-Attribute-Inference
wuyucheng2002/CTAug
Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"
JiePKU/ML-Leaks
An unofficial pyotrch implementation of "ML-Leaks:Model and Data Independent Membership Inference Attacks and Defenses on ML Models"
scottshufe/Property-Inference-Attacks-Literature
lins-sufe/LLMs-Privacy-Literature