Private Adaptive Optimization with Side Information (ICML '22)
☆16Jun 23, 2022Updated 3 years ago
Alternatives and similar repositories for AdaDPS
Users that are interested in AdaDPS are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023] Official JAX/Haiku implementation of the paper "Differentially Private Adaptive Optimization with Delayed Preconditioners"☆16Dec 14, 2022Updated 3 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Jun 12, 2023Updated 3 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆26Jan 7, 2025Updated last year
- ☆28Nov 28, 2023Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆34Aug 3, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated 2 years ago
- Official repo for the paper: Recovering Private Text in Federated Learning of Language Models (in NeurIPS 2022)☆61Mar 13, 2023Updated 3 years ago
- LAMP: Extracting Text from Gradients with Language Model Priors (NeurIPS '22)☆29May 26, 2025Updated last year
- Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"☆32Apr 25, 2022Updated 4 years ago
- A codebase that makes differentially private training of transformers easy.☆189Dec 9, 2022Updated 3 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42May 21, 2021Updated 5 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆253Dec 2, 2023Updated 2 years ago
- Analytic calibration for differential privacy with Gaussian perturbations☆51Oct 7, 2018Updated 7 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.
- Repo for the paper "Bounding Training Data Reconstruction in Private (Deep) Learning".☆11Jun 16, 2023Updated 2 years ago
- ☆11Jul 21, 2024Updated last year
- Tilted Empirical Risk Minimization (ICLR '21)☆62Nov 10, 2023Updated 2 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- [ACM SoCC'22] Pisces: Efficient Federated Learning via Guided Asynchronous Training☆13Apr 28, 2025Updated last year
- ☆20May 11, 2022Updated 4 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆37Jun 10, 2024Updated 2 years ago
- Code for paper "PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking"☆74Jul 13, 2022Updated 3 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Aug 3, 2023Updated 2 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.
- Code for Auditing DPSGD☆39Feb 15, 2022Updated 4 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆66Aug 28, 2023Updated 2 years ago
- Privacy Budget Orchestration in Machine Learning Workloads (OSDI '21)☆26Oct 20, 2023Updated 2 years ago
- ☆15Jul 13, 2021Updated 4 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆146Jan 22, 2026Updated 4 months 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
- A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.☆78Feb 15, 2024Updated 2 years ago
- ☆12Dec 7, 2016Updated 9 years ago
- ☆26Aug 18, 2023Updated 2 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.
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Aug 29, 2022Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆161Apr 30, 2022Updated 4 years ago
- Tensorflow ResNet implementation on cifar10☆13Aug 10, 2017Updated 8 years ago
- Library for training globally-robust neural networks.☆31Aug 7, 2025Updated 10 months ago
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆28Dec 1, 2021Updated 4 years ago
- ☆12Apr 25, 2025Updated last year
- Template for NSF Proposals☆18Oct 28, 2025Updated 7 months ago