Alternatives and similar repositories for Differential-Privacy-Guide

Users that are interested in Differential-Privacy-Guide are comparing it to the libraries listed below

• briland / LLM-security-and-privacy
  LLM security and privacy
  ☆53Updated last year
• privML / privacy-evaluator
  The privML Privacy Evaluator is a tool that assesses ML model's levels of privacy by running different attacks on it.
  ☆18Updated 4 years ago
• innovation-cat / awesome-privacy-preserving-machine-learning
  A curated list of awesome privacy preserving machine learning resources
  ☆14Updated 5 years 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…
  ☆101Updated last year
• amazon-science / controlling-llm-memorization
  ☆39Updated 2 years ago
• mmalekzadeh / honest-but-curious-nets
  Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
  ☆17Updated 3 years ago
• llm-platform-security / chatgpt-plugin-eval
  LLM Platform Security: Applying a Systematic Evaluation Framework to OpenAI's ChatGPT Plugins
  ☆29Updated last year
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆634Updated last year
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆211Updated 4 months ago
• shreyansh26 / Extracting-Training-Data-from-Large-Langauge-Models
  A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020
  ☆38Updated 3 years ago
• michele17284 / Awesome-Privacy-Preserving-LLMs
  Collection of all the papers talking about/relevant to the topic of privacy-preserving LLMs
  ☆38Updated 11 months ago
• leondz / lm_risk_cards
  Risks and targets for assessing LLMs & LLM vulnerabilities
  ☆33Updated last year
• xiangyue9607 / Sentence-LDP
  Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"
  ☆12Updated 2 years ago
• TrustAIResearch / MLHospital
  ☆44Updated 2 years ago
• ZhengyuZhao / AI-Security-and-Privacy-Events
  A curated list of academic events on AI Security & Privacy
  ☆167Updated last year
• microsoft / MICO
  Membership Inference Competition
  ☆32Updated 2 years ago
• microsoft / responsible-ai-toolbox-privacy
  A library for statistically estimating the privacy of ML pipelines from membership inference attacks
  ☆35Updated 4 months ago
• shizhouxing / LLM-Detector-Robustness
  [TACL] Code for "Red Teaming Language Model Detectors with Language Models"
  ☆23Updated 2 years ago
• microsoft / dp-transformers
  Differentially-private transformers using HuggingFace and Opacus
  ☆145Updated last year
• ngc436 / awesome-vertical-federated-learning
  A curated list of advancements in Vertical Federated Learning, frameworks and libraries.
  ☆38Updated 5 months ago
• xlhex / extract_and_transfer
  ☆10Updated 4 years ago
• VITA-Group / DP-OPT
  [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
  ☆46Updated last year
• byerose / Awesome-Foundation-Model-Security
  A curated list of trustworthy Generative AI papers. Daily updating...
  ☆75Updated last year
• google-research / public-data-in-dpfl
  ☆23Updated 3 years ago
• privateai / deid-examples
  Examples scripts that showcase how to use Private AI Text to de-identify, redact, hash, tokenize, mask and synthesize PII in text.
  ☆85Updated last week
• IBM / ai-privacy-toolkit
  A toolkit for tools and techniques related to the privacy and compliance of AI models.
  ☆108Updated 3 months ago
• nogrady / PPML
  Privacy Preserving Machine Learning (Manning Early Access Program)
  ☆33Updated 3 years ago
• awslabs / fast-differential-privacy
  Fast, memory-efficient, scalable optimization of deep learning with differential privacy
  ☆135Updated this week
• thu-coai / Targeted-Data-Extraction
  Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confid…
  ☆23Updated 2 years ago
• wyshi / lm_privacy
  ☆21Updated 4 years ago