Computationally friendly hyper-parameter search with DP-SGD
☆26Jan 7, 2025Updated last year
Alternatives and similar repositories for tan
Users that are interested in tan are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆11Jun 16, 2023Updated 2 years ago
- ☆20Jun 1, 2022Updated 4 years ago
- Private Adaptive Optimization with Side Information (ICML '22)☆16Jun 23, 2022Updated 3 years ago
- A codebase that makes differentially private training of transformers easy.☆189Dec 9, 2022Updated 3 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆15Jun 5, 2023Updated 3 years ago
- ☆14Dec 12, 2024Updated last year
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆146Jan 22, 2026Updated 4 months ago
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- ☆13Feb 26, 2025Updated last year
- Transformers with doubly stochastic attention☆54Sep 14, 2022Updated 3 years ago
- Official implementation of the paper "ALTER: Augmentation for Large-Table-Based Reasoning"☆15Aug 26, 2024Updated last year
- ☆21Mar 25, 2023Updated 3 years ago
- Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".☆10Sep 2, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A Julia implementation of the Paillier partially homomorphic encryption system☆13Oct 8, 2020Updated 5 years ago
- Extract your SlidesLive presentation.☆15Apr 19, 2024Updated 2 years ago
- ☆13Aug 15, 2024Updated last year
- Accept by CVPR 2025 (highlight)☆25Jun 8, 2025Updated last year
- Source code for the VLDB 2021 paper.☆11May 19, 2021Updated 5 years ago
- All the submission scripts used for my work on Jean Zay and the TGCC☆15Jul 17, 2023Updated 2 years ago
- ☆17Jul 26, 2021Updated 4 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- Memory Mosaics are networks of associative memories working in concert to achieve a prediction task.☆62Jan 30, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Scalable and privacy-enhanced graph generative models for benchmark graph neural networks☆17Nov 1, 2023Updated 2 years ago
- Processed datasets that we have used in our research☆15Apr 30, 2020Updated 6 years ago
- This is a PyTorch implementation of the paperViP A Differentially Private Foundation Model for Computer Vision☆36Jun 27, 2023Updated 2 years ago
- This repository contains codes for paper: Generalized Linear Bandits with Local Differential Privacy by Yuxuan Han, Zhipeng Liang, Yang W…☆16Apr 25, 2026Updated last month
- ☆17Aug 16, 2024Updated last year
- Code repo for the paper "Privacy-aware Compression for Federated Data Analysis".☆18May 31, 2023Updated 3 years ago
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- Code for paper: "Privately generating tabular data using language models".☆15Jun 13, 2023Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Source code of "What can linearized neural networks actually say about generalization?☆20Oct 21, 2021Updated 4 years ago
- Unified, Simplified, Tight and Fast Privacy Amplification in the Shuffle Model of Differential Privacy☆11Oct 27, 2024Updated last year
- Non-Distinguishable Inconsistencies as a Deterministic Oracle for Detecting Security Bugs☆16Nov 7, 2022Updated 3 years ago
- Implementation of "Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes" (https://…☆13May 6, 2024Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆148Aug 28, 2024Updated last year
- ☆18Feb 16, 2024Updated 2 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Apr 4, 2023Updated 3 years ago