cleverhans-lab / unrolling-sgdLinks
code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
☆23Updated 3 years ago
Alternatives and similar repositories for unrolling-sgd
Users that are interested in unrolling-sgd are comparing it to the libraries listed below
Sorting:
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- ☆50Updated last year
- ☆26Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- Camouflage poisoning via machine unlearning☆18Updated 6 months ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆58Updated 5 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 4 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆80Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆67Updated 4 years ago
- ☆47Updated 4 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- ☆32Updated last year
- ☆21Updated last year
- ☆195Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆61Updated 2 years ago
- ☆19Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.☆60Updated 6 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆52Updated 3 years ago
- ☆32Updated 2 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆75Updated last year
- ☆25Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago