SunnierLee / DP-ImaGenLinks
[USENIX Security 2024] PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
☆23Updated 11 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:
- 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"☆19Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆41Updated last year
- [CCS 2025] DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.☆24Updated 2 weeks ago
- ☆27Updated 2 years ago
- This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023…☆24Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆109Updated 2 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆12Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- ☆355Updated 3 months ago
- [ICCV-2023] Gradient inversion attack, Federated learning, Generative adversarial network.☆45Updated last year
- [ICML 2023] Official code implementation of "Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning (htt…☆42Updated last month
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆74Updated 2 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆61Updated 10 months ago
- The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…☆55Updated 8 months ago
- ☆13Updated last year
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆49Updated 3 years ago
- ☆34Updated last year
- Awesome Federated Unlearning (FU) Papers (Continually Update)☆98Updated last year
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆60Updated 2 years ago
- Source code and scripts for the paper "Is Difficulty Calibration All We Need? Towards More Practical Membership Inference Attacks"☆19Updated 10 months ago
- [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"☆43Updated 10 months ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆34Updated 3 years ago
- ☆21Updated last year
- The implementation of the IEEE S&P 2024 paper MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Us…☆15Updated last year
- ☆14Updated 2 years ago
- Webank AI☆42Updated 8 months ago
- A Fine-grained Differentially Private Federated Learning against Leakage from Gradients☆15Updated 2 years ago
- ☆44Updated 3 years ago