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)☆82Updated 2 years ago
- ☆27Updated last year
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Updated 7 months ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 3 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆128Updated last year
- ☆32Updated 4 years ago
- ☆44Updated last year
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆127Updated 8 months ago
- ☆70Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 7 months ago
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated last month
- Invisible Backdoor Attack with Sample-Specific Triggers☆97Updated 3 years ago
- ☆25Updated 4 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated last year
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆28Updated 4 years ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆73Updated 2 years ago
- Github Repo for AAAI 2023 paper: On the Vulnerability of Backdoor Defenses for Federated Learning☆40Updated 2 years ago
- Code for ML Doctor☆91Updated 11 months ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆123Updated 3 years ago
- ☆27Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆23Updated 3 months ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 4 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆45Updated 5 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆58Updated 6 years ago