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:
- Implementations of data poisoning attacks against neural networks and related defenses.☆98Updated last year
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆20Updated last year
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆23Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- ☆196Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021☆10Updated 3 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- ☆16Updated 6 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- ☆361Updated 2 weeks ago
- Code for Auditing DPSGD☆37Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.☆25Updated 4 years ago
- ☆58Updated 5 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- ☆26Updated 3 years ago
- 🔒 Implementation of Shokri et al(2016) "Membership Inference Attacks against Machine Learning Models"☆35Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆160Updated 2 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- ☆13Updated last year
- ☆32Updated last year
- ☆49Updated last year
- ☆32Updated 2 years ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 years ago
- ☆32Updated 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 …☆20Updated 2 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆31Updated 3 years ago