PriSampler: Mitigating Property Inference of Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Hailong, Pang, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identity-Focused Inference and Extraction Attacks on Diffusion Models
by: Vora, Jayneel, et al.
Published: (2024)
by: Vora, Jayneel, et al.
Published: (2024)
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
by: Ahn, Jaesin, et al.
Published: (2025)
by: Ahn, Jaesin, et al.
Published: (2025)
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
by: Yin, Zhipeng, et al.
Published: (2025)
by: Yin, Zhipeng, et al.
Published: (2025)
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024)
by: Luo, Zihao, et al.
Published: (2024)
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
by: Gao, Hongcheng, et al.
Published: (2024)
by: Gao, Hongcheng, et al.
Published: (2024)
Robust Classification via a Single Diffusion Model
by: Chen, Huanran, et al.
Published: (2023)
by: Chen, Huanran, et al.
Published: (2023)
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
by: Guan, Zihan, et al.
Published: (2024)
by: Guan, Zihan, et al.
Published: (2024)
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
by: Chou, Sheng-Yen, et al.
Published: (2023)
by: Chou, Sheng-Yen, et al.
Published: (2023)
Evaluating Precise Geolocation Inference Capabilities of Vision Language Models
by: Jay, Neel, et al.
Published: (2025)
by: Jay, Neel, et al.
Published: (2025)
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
by: Cui, Yingqian, et al.
Published: (2023)
by: Cui, Yingqian, et al.
Published: (2023)
On the Multi-modal Vulnerability of Diffusion Models
by: Yang, Dingcheng, et al.
Published: (2024)
by: Yang, Dingcheng, et al.
Published: (2024)
Invisible Backdoor Attacks on Diffusion Models
by: Li, Sen, et al.
Published: (2024)
by: Li, Sen, et al.
Published: (2024)
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
by: Li, Wenda, et al.
Published: (2024)
by: Li, Wenda, et al.
Published: (2024)
Diffence: Fencing Membership Privacy With Diffusion Models
by: Peng, Yuefeng, et al.
Published: (2023)
by: Peng, Yuefeng, et al.
Published: (2023)
Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)
by: Li, Jingwei, et al.
Published: (2024)
Extracting Training Data from Unconditional Diffusion Models
by: Chen, Yunhao, et al.
Published: (2024)
by: Chen, Yunhao, et al.
Published: (2024)
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
by: Fu, Wenjie, et al.
Published: (2023)
by: Fu, Wenjie, et al.
Published: (2023)
Unsupervised Backdoor Detection and Mitigation for Spiking Neural Networks
by: Li, Jiachen, et al.
Published: (2025)
by: Li, Jiachen, et al.
Published: (2025)
SIDE: Surrogate Conditional Data Extraction from Diffusion Models
by: Chen, Yunhao, et al.
Published: (2024)
by: Chen, Yunhao, et al.
Published: (2024)
RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
by: Jiang, Tanqiu, et al.
Published: (2025)
by: Jiang, Tanqiu, et al.
Published: (2025)
Unstable Unlearning: The Hidden Risk of Concept Resurgence in Diffusion Models
by: Suriyakumar, Vinith M., et al.
Published: (2024)
by: Suriyakumar, Vinith M., et al.
Published: (2024)
DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
by: Sui, Yang, et al.
Published: (2024)
by: Sui, Yang, et al.
Published: (2024)
FreezeAsGuard: Mitigating Illegal Adaptation of Diffusion Models via Selective Tensor Freezing
by: Huang, Kai, et al.
Published: (2024)
by: Huang, Kai, et al.
Published: (2024)
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
by: Zheng, Mengxin, et al.
Published: (2023)
by: Zheng, Mengxin, et al.
Published: (2023)
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
by: Dolatabadi, Hadi M., et al.
Published: (2023)
by: Dolatabadi, Hadi M., et al.
Published: (2023)
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models
by: Wang, Zhenting, et al.
Published: (2023)
by: Wang, Zhenting, et al.
Published: (2023)
NoisePrints: Distortion-Free Watermarks for Authorship in Private Diffusion Models
by: Goren, Nir, et al.
Published: (2025)
by: Goren, Nir, et al.
Published: (2025)
Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models
by: Mendieta, Matias, et al.
Published: (2024)
by: Mendieta, Matias, et al.
Published: (2024)
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
by: Liu, Bochao, et al.
Published: (2024)
by: Liu, Bochao, et al.
Published: (2024)
VIDSTAMP: A Temporally-Aware Watermark for Ownership and Integrity in Video Diffusion Models
by: Teymoorianfard, Mohammadreza, et al.
Published: (2025)
by: Teymoorianfard, Mohammadreza, et al.
Published: (2025)
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning
by: Lebensold, Jonathan, et al.
Published: (2024)
by: Lebensold, Jonathan, et al.
Published: (2024)
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
by: Yao, Dixi
Published: (2024)
by: Yao, Dixi
Published: (2024)
Unveiling and Mitigating Backdoor Vulnerabilities based on Unlearning Weight Changes and Backdoor Activeness
by: Lin, Weilin, et al.
Published: (2024)
by: Lin, Weilin, et al.
Published: (2024)
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
by: Chen, Junxi, et al.
Published: (2024)
by: Chen, Junxi, et al.
Published: (2024)
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation
by: Wang, Yongyu, et al.
Published: (2024)
by: Wang, Yongyu, et al.
Published: (2024)
SAT-LDM: Provably Generalizable Image Watermarking for Latent Diffusion Models with Self-Augmented Training
by: Zhang, Lu, et al.
Published: (2024)
by: Zhang, Lu, et al.
Published: (2024)
Privacy Preserving Properties of Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)
by: Suhail, Pirzada, et al.
Published: (2025)
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
by: Roy, Arjun, et al.
Published: (2024)
by: Roy, Arjun, et al.
Published: (2024)
ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
by: Golbari, Yuval, et al.
Published: (2025)
by: Golbari, Yuval, et al.
Published: (2025)
PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
by: Li, Kecen, et al.
Published: (2023)
by: Li, Kecen, et al.
Published: (2023)
Similar Items
-
Identity-Focused Inference and Extraction Attacks on Diffusion Models
by: Vora, Jayneel, et al.
Published: (2024) -
Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models
by: Ahn, Jaesin, et al.
Published: (2025) -
AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
by: Yin, Zhipeng, et al.
Published: (2025) -
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024) -
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
by: Gao, Hongcheng, et al.
Published: (2024)