Alternatives and similar repositories for tan:

Users that are interested in tan are comparing it to the libraries listed below

• google-deepmind / informed_adversary_mnist_reconstruction
  ☆18Updated 2 years ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 2 years ago
• google-research / dp-imagenet
  ☆36Updated 2 years ago
• dayu11 / Gradient-Embedding-Perturbation
  ☆27Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆55Updated last year
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• microsoft / dp-few-shot-generation
  ☆23Updated last year
• alshedivat / fedpa
  Federated posterior averaging implemented in JAX
  ☆51Updated last year
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆93Updated 8 months ago
• locuslab / perturbation_learning
  Learning perturbation sets for robust machine learning
  ☆64Updated 3 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• nitarshan / robust-generalization-measures
  Official code for "In Search of Robust Measures of Generalization" (NeurIPS 2020)
  ☆28Updated 4 years ago
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆23Updated 2 years ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• MadryLab / rethinking-backdoor-attacks
  ☆16Updated last year
• fra31 / robust-finetuning
  Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"
  ☆18Updated 2 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• zleizzo / datadeletion
  ☆14Updated 4 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• wyshi / lm_privacy
  ☆18Updated 3 years ago
• MadryLab / DebuggableDeepNetworks
  ☆39Updated 3 years ago
• google-parfait / dataset_grouper
  Libraries for efficient and scalable group-structured dataset pipelines.
  ☆23Updated 2 months ago
• ethz-spylab / realistic-adv-examples
  Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]
  ☆20Updated 10 months ago
• spliew / shuffgauss
  ☆10Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• amiratag / DistributionalShapley
  Distributional Shapley: A Distributional Framework for Data Valuation
  ☆30Updated 9 months ago
• TheSalon / fast-dpsgd
  Code for fast dpsgd implementations in JAX/TF
  ☆59Updated 2 years ago
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆21Updated last year