TASI-LAB / Unlearning-inversion-attacksLinks
This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning".
☆18Updated last year
Alternatives and similar repositories for Unlearning-inversion-attacks
Users that are interested in Unlearning-inversion-attacks are comparing it to the libraries listed below
Sorting:
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 4 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Updated 9 months ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated last week
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆130Updated last year
- ☆70Updated 3 years ago
- Code for ML Doctor☆90Updated last year
- ☆32Updated 4 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆84Updated 3 years ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆128Updated 10 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- ☆27Updated last year
- [Oakland 2024] Exploring the Orthogonality and Linearity of Backdoor Attacks☆26Updated 5 months ago
- ☆45Updated last year
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆64Updated 11 months ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆19Updated last year
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 6 years ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆99Updated 3 years ago
- ☆26Updated 3 years ago
- ☆45Updated 5 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆72Updated last year
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 2 months ago
- ☆27Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆60Updated 2 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated last year
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago