DevPranjal / mico-first-principlesLinks
Our submission for the Microsoft Membership Inference Competion at SaTML 2023
☆15Updated 2 years ago
Alternatives and similar repositories for mico-first-principles
Users that are interested in mico-first-principles are comparing it to the libraries listed below
Sorting:
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
 - ☆47Updated last year
 - ☆32Updated last year
 - ☆58Updated 5 years ago
 - Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
 - Implementations of data poisoning attacks against neural networks and related defenses.☆95Updated last year
 - 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆35Updated 3 years ago
 - ☆37Updated 3 years ago
 - A unified benchmark problem for data poisoning attacks☆160Updated 2 years ago
 - Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
 - ☆32Updated last year
 - Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆110Updated last year
 - Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
 - ☆26Updated 3 years ago
 - Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.☆25Updated 4 years ago
 - [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
 - ☆13Updated 2 years ago
 - Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
 - [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆41Updated last year
 - ☆54Updated 4 years ago
 - Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
 - Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆59Updated 6 years ago
 - Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆64Updated last year
 - The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆19Updated 2 years ago
 - This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆19Updated last year
 - Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆22Updated 3 years ago
 - CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆74Updated last year
 - Membership Inference Competition☆31Updated 2 years ago
 - ☆20Updated last week
 - Query-Efficient Data-Free Learning from Black-Box Models☆22Updated 2 years ago