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".
☆17Updated 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:
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- ☆31Updated 4 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 6 months ago
- ☆44Updated last year
- ☆26Updated last year
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆127Updated 8 months ago
- ☆70Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆57Updated 7 months ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 2 weeks ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆29Updated 3 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆128Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆70Updated last year
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated 11 months ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆96Updated 2 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆31Updated 4 years ago
- Code for ML Doctor☆91Updated 11 months ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 4 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- ☆38Updated 4 years ago
- ☆25Updated 4 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆38Updated 2 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- ☆31Updated last year
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆38Updated 10 months ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Updated 3 years ago