SPIN-UMass / MembershipWhiteboxAttacksView external linksLinks
☆16Apr 16, 2019Updated 6 years ago
Alternatives and similar repositories for MembershipWhiteboxAttacks
Users that are interested in MembershipWhiteboxAttacks are comparing it to the libraries listed below
Sorting:
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 4 years ago
- ☆18May 30, 2025Updated 8 months ago
- The implementation of FedMix☆11Aug 18, 2022Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆23Jan 29, 2020Updated 6 years ago
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 6 years ago
- ☆12Jun 8, 2021Updated 4 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆85Nov 22, 2021Updated 4 years ago
- ☆36Jan 5, 2022Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Jan 28, 2019Updated 7 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Nov 1, 2019Updated 6 years ago
- ☆19Mar 6, 2023Updated 2 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Oct 13, 2020Updated 5 years ago
- ☆45Nov 10, 2019Updated 6 years ago
- ☆371Jan 4, 2026Updated last month
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆24Mar 13, 2022Updated 3 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆28Oct 25, 2021Updated 4 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆698Apr 26, 2025Updated 9 months ago
- A Data-Driven Approach to Predict the Success of Bank Telemarketing☆10Apr 27, 2021Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Dec 30, 2021Updated 4 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Dec 28, 2021Updated 4 years ago
- ☆10Jul 16, 2023Updated 2 years ago
- A Framework for Collaboration of Experts from Benchmark☆13Apr 27, 2025Updated 9 months ago
- A collection of demos and utilities prepared ahead of the Vector Institute Privacy Enhancing Techniques (PETs) Bootcamp.☆15Sep 22, 2022Updated 3 years ago
- Guide to interviewing for industry machine learning roles (data/applied/research scientist, ML engineer, etc).☆11Dec 28, 2022Updated 3 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Sep 6, 2023Updated 2 years ago
- YOLOX and Deepsort☆10Aug 9, 2021Updated 4 years ago
- Heterogeneous Model Reuse via Optimizing Multiparty Multiclass Margin☆11Jan 15, 2020Updated 6 years ago
- ☆10May 31, 2023Updated 2 years ago
- JAX/Haiku implementation of "Auction Learning as a Two-Player Game"☆11Jul 6, 2024Updated last year
- ☆13Feb 17, 2025Updated 11 months ago
- ☆10Nov 1, 2023Updated 2 years ago
- ☆13May 9, 2024Updated last year
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 5 years ago
- An unofficial pyotrch implementation of "ML-Leaks:Model and Data Independent Membership Inference Attacks and Defenses on ML Models"☆11Dec 23, 2023Updated 2 years ago