2019ChenGong / DPImageBenchLinks
[CCS 2025] DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.
☆27Updated last week
Alternatives and similar repositories for DPImageBench
Users that are interested in DPImageBench are comparing it to the libraries listed below
Sorting:
- [USENIX Security 2024] PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretrainin…☆23Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆72Updated last year
- Private Evolution: Generating DP Synthetic Data without Training [ICLR 2024, ICML 2024 Spotlight]☆109Updated last month
- ☆49Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆23Updated 3 years ago
- Camouflage poisoning via machine unlearning☆18Updated 5 months ago
- Methods for removing learned data from neural nets and evaluation of those methods☆38Updated 5 years ago
- ☆47Updated 3 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆23Updated 6 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago
- ☆19Updated last year
- Differentially Private Diffusion Models☆105Updated last year
- The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…☆63Updated 10 months ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆60Updated 2 years ago
- This repo implements several algorithms for learning with differential privacy.☆111Updated 3 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Updated 2 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- Likelihood Ratio Attack (LiRA) in PyTorch☆17Updated 9 months ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- ☆58Updated 5 years ago
- The collection of papers about Private Evolution☆17Updated 2 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆141Updated 6 months ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 years ago
- Fast, memory-efficient, scalable optimization of deep learning with differential privacy☆135Updated 4 months ago