Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking attacks and defenses.
☆104Nov 2, 2019Updated 6 years ago
Alternatives and similar repositories for cyphercat
Users that are interested in cyphercat 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 Membership Inference Attack against Machine Learning Models (in Oakland 2017)☆202Nov 15, 2017Updated 8 years ago
- Python package to create adversarial agents for membership inference attacks againts machine learning models☆46Feb 12, 2019Updated 7 years ago
- Code for the paper "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"☆86Nov 22, 2021Updated 4 years ago
- A library for running membership inference attacks against ML models☆151Dec 8, 2022Updated 3 years ago
- ☆46Nov 10, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Jan 28, 2019Updated 7 years ago
- ☆32Sep 2, 2024Updated last year
- This project's goal is to evaluate the privacy leakage of differentially private machine learning models.☆136Dec 8, 2022Updated 3 years ago
- Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)☆49Dec 17, 2019Updated 6 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆133Apr 9, 2024Updated 2 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆47Nov 25, 2019Updated 6 years ago
- A repo to download and preprocess the Purchase100 dataset extracted from Kaggle: Acquire Valued Shoppers Challenge☆13Jun 21, 2021Updated 5 years ago
- ☆19Mar 6, 2023Updated 3 years ago
- ☆25Jan 20, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for the paper: Label-Only Membership Inference Attacks☆68Sep 11, 2021Updated 4 years ago
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Jul 12, 2022Updated 4 years ago
- An awesome list of papers on privacy attacks against machine learning☆640Mar 18, 2024Updated 2 years ago
- Model extraction attacks on Machine-Learning-as-a-Service platforms.☆357Nov 22, 2020Updated 5 years ago
- Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.☆69Oct 4, 2024Updated last year
- Public implementation of the paper "On the Importance of Difficulty Calibration in Membership Inference Attacks".☆17Dec 1, 2021Updated 4 years ago
- Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.☆720Apr 26, 2025Updated last year
- ☆23Aug 15, 2022Updated 3 years ago
- ☆23Sep 17, 2024Updated last year
- 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 Data Provenance in Text-Generation Models (in KDD 2019)☆10Jun 18, 2019Updated 7 years ago
- Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"☆11Apr 5, 2021Updated 5 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 2 years ago
- Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)☆56Dec 21, 2020Updated 5 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Jan 7, 2022Updated 4 years ago
- Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18☆55Jun 7, 2019Updated 7 years ago
- Target Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning☆10Jul 2, 2019Updated 7 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)☆46Apr 22, 2022Updated 4 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Mar 28, 2020Updated 6 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆323Apr 14, 2023Updated 3 years ago
- ☆25Nov 14, 2022Updated 3 years ago
- Library for training machine learning models with privacy for training data☆2,019Jul 8, 2026Updated 2 weeks ago
- ☆13Sep 26, 2024Updated last year
- ☆10Jun 1, 2022Updated 4 years ago