SunnierLee / DP-ImaGenLinks
[USENIX Security 2024] PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
☆22Updated 10 months ago
Alternatives and similar repositories for DP-ImaGen
Users that are interested in DP-ImaGen are comparing it to the libraries listed below
Sorting:
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆41Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Updated last year
- The code of "dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis"☆18Updated last year
- [CCS 2025] DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.☆24Updated 3 weeks ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- ☆13Updated last year
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- [ICML 2022 / ICLR 2024] Source code for our papers "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be C…☆45Updated 2 months ago
- ☆27Updated last year
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 2 years ago
- ☆355Updated 2 months ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆59Updated 2 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆48Updated 3 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆11Updated last year
- This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearni…☆18Updated last year
- Methods for removing learned data from neural nets and evaluation of those methods☆37Updated 4 years ago
- ☆70Updated 3 years ago
- ☆44Updated 3 years ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆43Updated 9 months ago
- [arXiv:2411.10023] "Model Inversion Attacks: A Survey of Approaches and Countermeasures"☆200Updated 3 months ago
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- ☆44Updated 3 years ago
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated 2 weeks ago
- A comprehensive toolbox for model inversion attacks and defenses, which is easy to get started.☆182Updated 6 months ago
- [KDD 2022] "Bilateral Dependency Optimization: Defending Against Model-inversion Attacks"☆24Updated 2 weeks ago
- ☆24Updated 4 years ago
- This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…☆24Updated last year