Alternatives and similar repositories for dp-promise

Users that are interested in dp-promise are comparing it to the libraries listed below

• SunnierLee / DP-ImaGen
  [USENIX Security 2024] PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretrainin…
  ☆23Updated last year
• xinjianluo / featureinference-vfl
  ☆25Updated 4 years ago
• purp1eHaze / FedIPR
  Webank AI
  ☆42Updated 9 months ago
• HongshengHu / membership-inference-machine-learning-literature
  ☆361Updated 2 weeks ago
• 13thDayOfLunarMay / TECB-attack
  The implementatioin code of paper: “A Practical Clean-Label Backdoor Attack with Limited Information in Vertical Federated Learning”
  ☆11Updated 2 years ago
• ybdai7 / Chameleon-durable-backdoor
  [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…
  ☆42Updated 2 months ago
• facebookresearch / label_dp_antipodes
  Code to reproduce experiments in "Antipodes of Label Differential Privacy PATE and ALIBI"
  ☆32Updated 3 years ago
• AI-secure / GMI-Attack
  ☆32Updated 4 years ago
• qzzqzzb / A3FL
  ☆29Updated 2 years ago
• alewarne / MachineUnlearning
  Code related to the paper "Machine Unlearning of Features and Labels"
  ☆72Updated last year
• sail-research / iba
  IBA: Towards Irreversible Backdoor Attacks in Federated Learning (Poster at NeurIPS 2023)
  ☆38Updated 2 months ago
• haoyangliASTAPLE / 3DFed
  ☆55Updated 2 years ago
• zhmzm / FLAME
  ☆34Updated last year
• jhcknzzm / Federated-Learning-Backdoor
  ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341
  ☆77Updated 2 years ago
• JeffffffFu / DPSUR
  DPSUR
  ☆27Updated 10 months ago
• chamikara1986 / LDPFL
  Local Differential Privacy for Federated Learning
  ☆18Updated 3 years ago
• BorjaBalle / amplification-by-shuffling
  Implementation of calibration bounds for differential privacy in the shuffle model
  ☆21Updated 5 years ago
• ffhibnese / Model-Inversion-Attack-ToolBox
  A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.
  ☆186Updated 2 months ago
• xtLyu / CerP
  ☆16Updated last year
• wanghangpsu / MM-BD
  The implementation of the IEEE S&P 2024 paper MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Us…
  ☆17Updated last year
• TinfoilHat0 / Defending-Against-Backdoors-with-Robust-Learning-Rate
  The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".
  ☆34Updated 3 years ago
• TASI-LAB / Unlearning-inversion-attacks
  This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…
  ☆20Updated last year
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆135Updated 3 months ago
• KAI-YUE / rog
  ☆14Updated 2 years ago
• dayu11 / Differentially-Private-Deep-Learning
  This repo implements several algorithms for learning with differential privacy.
  ☆111Updated 2 years ago
• FuChong-cyber / label-inference-attacks
  Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
  ☆87Updated 2 years ago
• KaiyuanZh / FLIP
  [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
  ☆60Updated 11 months ago
• BapFL / code
  Implementation of BapFL: You can Backdoor Attack Personalized Federated Learning
  ☆14Updated 2 years ago
• guoJohnny / algorithmic-foundation-of-dp-zh-cn
  The Algorithmic Foundations of Differential Pivacy by Cynthia Dwork Chinese Translation
  ☆171Updated 2 years ago
• JeffffffFu / Awesome-Differential-Privacy-and-Meachine-Learning
  Paper notes and code for differentially private machine learning
  ☆365Updated 2 months ago