ganeshdg95 / Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-LeakageView on GitHub
☆19Mar 6, 2023Updated 3 years ago
Alternatives and similar repositories for Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage
Users that are interested in Leveraging-Adversarial-Examples-to-Quantify-Membership-Information-Leakage are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 2 years ago
- Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 7 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 5 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- ☆23Aug 15, 2022Updated 3 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Jan 28, 2019Updated 7 years ago
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆17Dec 1, 2021Updated 4 years ago
- The code for our Updates-Leak paper☆17Jul 23, 2020Updated 5 years ago
- ☆13Sep 26, 2024Updated last year
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Feb 12, 2019Updated 7 years ago
- ☆46Nov 10, 2019Updated 6 years ago
- ☆10Jun 5, 2021Updated 5 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- ☆27Aug 18, 2023Updated 2 years ago
- Kaggle Heritage Health Prize Challenge☆20Dec 5, 2023Updated 2 years ago
- Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)☆17Jan 11, 2023Updated 3 years ago
- ☆25Nov 14, 2022Updated 3 years ago
- ☆373Apr 8, 2026Updated 3 months ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Mar 9, 2021Updated 5 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆720Apr 26, 2025Updated last year
- A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge☆12Jun 21, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆12Jun 8, 2021Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆47Nov 25, 2019Updated 6 years ago
- ☆32Sep 2, 2024Updated last year
- Code for ML Doctor☆92Aug 14, 2024Updated last year
- Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"☆38Feb 19, 2018Updated 8 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆56May 28, 2019Updated 7 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Aug 18, 2022Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57May 4, 2023Updated 3 years ago
- ☆16Apr 4, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- https://icml.cc/virtual/2023/poster/24354☆10Aug 15, 2023Updated 2 years ago
- ☆16Apr 16, 2019Updated 7 years ago
- Modular framework for property inference attacks on deep neural networks☆19Jun 8, 2023Updated 3 years ago
- ☆12Jan 28, 2023Updated 3 years ago
- ☆15May 5, 2026Updated 2 months ago
- TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations☆20Dec 27, 2020Updated 5 years ago
- MultiPriv offers multilingual, multimodal PII entities and prompts for studying privacy risks in LLMs/VLMs. It also supports broader PII-…☆34Jun 29, 2026Updated last week