Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
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Updated
Nov 6, 2024 - Python
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
A curated list of trustworthy deep learning papers. Daily updating...
Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu
Code for ML Doctor
[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
reveal the vulnerabilities of SplitNN
🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"
Min-K%++: Improved baseline for detecting pre-training data of LLMs https://arxiv.org/abs/2404.02936
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Differential Privacy Protection against MembershipInference Attack on Machine Learning for Genomic Data
The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
FederBoost's Federated Gradient Boosting Decision Tree Algorithm, Federated enabled Membership Inference
Bachelor's Thesis on Membership Inference Attacks
Codebase for Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Membership inference against Federated learning.
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