Alternatives and similar repositories for DPSDA:

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

• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆132Updated 6 months ago
• AI-secure / aug-pe
  [ICML 2024 Spotlight] Differentially Private Synthetic Data via Foundation Model APIs 2: Text
  ☆32Updated last month
• lxuechen / private-transformers
  A codebase that makes differentially private training of transformers easy.
  ☆170Updated 2 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆114Updated last month
• microsoft / prv_accountant
  A fast algorithm to optimally compose privacy guarantees of differentially private (DP) mechanisms to arbitrary accuracy.
  ☆73Updated last year
• google-deepmind / jax_privacy
  Algorithms for Privacy-Preserving Machine Learning in JAX
  ☆92Updated 8 months ago
• microsoft / analysing_pii_leakage
  The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…
  ☆88Updated 6 months ago
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆68Updated 11 months ago
• nv-tlabs / DPDM
  Differentially Private Diffusion Models
  ☆92Updated last year
• microsoft / dp-few-shot-generation
  ☆23Updated last year
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆37Updated 3 years ago
• cleverhans-lab / unrolling-sgd
  code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22
  ☆22Updated 2 years ago
• safr-ai-lab / survey-llm
  A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code
  ☆66Updated 9 months ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆68Updated last year
• DingfanChen / RelaxLoss
  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)
  ☆48Updated 2 years ago
• huseyinatahaninan / Differentially-Private-Fine-tuning-of-Language-Models
  ☆71Updated 2 years ago
• liuyugeng / ML-Doctor
  Code for ML Doctor
  ☆86Updated 6 months ago
• illidanlab / inversion-influence-function
  Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023
  ☆15Updated last year
• Machine-Learning-Security-Lab / mia_prune
  Membership Inference Attacks and Defenses in Neural Network Pruning
  ☆28Updated 2 years ago
• YuxinWenRick / canary-in-a-coalmine
  ☆33Updated last year
• meghdadk / SCRUB
  ☆44Updated 6 months ago
• litian96 / AdaDPS
  Private Adaptive Optimization with Side Information (ICML '22)
  ☆16Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆105Updated 2 years ago
• JialinMao / private_CNN
  ☆10Updated 2 years ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆30Updated 2 years ago
• ftramer / Handcrafted-DP
  ☆80Updated 2 years ago
• wrh14 / deep_unlearning
  Official github page for the paper "Evaluating Deep Unlearning in Large Language Model"
  ☆14Updated 2 weeks ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆58Updated 5 years ago
• google-research / public-data-in-dpfl
  ☆22Updated 2 years ago
• TrustAIResearch / MLHospital
  ☆44Updated last year