cleverhans-lab / unrolling-sgdLinks
code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
☆22Updated 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)☆49Updated 3 years ago
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 3 years ago
- ☆47Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆27Updated 3 years ago
- ☆19Updated last year
- ☆19Updated 2 years ago
- ☆26Updated 3 years ago
- ☆32Updated last year
- Camouflage poisoning via machine unlearning☆17Updated 3 months ago
- ☆24Updated 2 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…☆38Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- verifying machine unlearning by backdooring☆20Updated 2 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- Code for ML Doctor☆90Updated last year
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆47Updated 3 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆30Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- ☆67Updated last year
- Code for Auditing DPSGD☆37Updated 3 years ago