2019ChenGong / DPImageBenchLinks
[CCS 2025] DPImageBench is an open-source toolkit developed to facilitate the research and application of DP image synthesis.
☆28Updated 2 weeks ago
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
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆83Updated last year
- ☆51Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆17Updated 3 years ago
- 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]☆111Updated 3 months ago
- ☆47Updated 4 years ago
- The collection of papers about Private Evolution☆18Updated 4 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆29Updated 2 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated 2 years ago
- ☆59Updated 5 years ago
- Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)☆50Updated 3 years ago
- [NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes☆12Updated 2 years ago
- code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22☆24Updated 3 years ago
- Differentially Private Diffusion Models☆105Updated 2 years ago
- Camouflage poisoning via machine unlearning☆19Updated 7 months ago
- This is the code repository of our submission: Understanding the Dark Side of LLMs’ Intrinsic Self-Correction.☆63Updated last year
- ☆32Updated last year
- Official PyTorch Implementation for Continual Learning and Private Unlearning☆18Updated 3 years ago
- This repo implements several algorithms for learning with differential privacy.☆110Updated 3 years ago
- The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…☆64Updated last year
- ☆13Updated 9 months ago
- ☆36Updated 5 months ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆63Updated 2 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆83Updated 2 years ago
- ☆15Updated 2 years ago
- [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …☆24Updated 8 months ago
- ☆19Updated 2 years ago
- Certified Removal from Machine Learning Models☆69Updated 4 years ago