Copertina

Identity-Focused Inference and Extraction Attacks on Diffusion Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Vora, Jayneel, Krishnan, Aditya, Bouacida, Nader, Shankar, Prabhu RV, Mohapatra, Prasant
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models
di: Vora, Jayneel, et al.
Pubblicazione: (2024)

PTQ4ADM: Post-Training Quantization for Efficient Text Conditional Audio Diffusion Models
di: Vora, Jayneel, et al.
Pubblicazione: (2024)

Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation through Hybrid Vision
di: Krishnan, Aditya, et al.
Pubblicazione: (2024)

Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
di: Luo, Zihao, et al.
Pubblicazione: (2024)

Invisible Backdoor Attacks on Diffusion Models
di: Li, Sen, et al.
Pubblicazione: (2024)

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
di: Chou, Sheng-Yen, et al.
Pubblicazione: (2023)

Towards Black-Box Membership Inference Attack for Diffusion Models
di: Li, Jingwei, et al.
Pubblicazione: (2024)

Attack Assessment and Augmented Identity Recognition for Human Skeleton Data
di: Zalameda, Joseph G., et al.
Pubblicazione: (2026)

SIDE: Surrogate Conditional Data Extraction from Diffusion Models
di: Chen, Yunhao, et al.
Pubblicazione: (2024)

Privacy-Aware Federated nnU-Net for ECG Page Digitization
di: Nemati, Nader
Pubblicazione: (2025)

Selective Encryption using Segmentation Mask with Chaotic Henon Map for Multidimensional Medical Images
di: Prakash, S Arut, et al.
Pubblicazione: (2024)

A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models
di: Fu, Wenjie, et al.
Pubblicazione: (2023)

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
di: Xiao, Yaxin, et al.
Pubblicazione: (2025)

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
di: Sui, Yang, et al.
Pubblicazione: (2024)

PriSampler: Mitigating Property Inference of Diffusion Models
di: Hu, Hailong, et al.
Pubblicazione: (2023)

ImpMIA: Leveraging Implicit Bias for Membership Inference Attack
di: Golbari, Yuval, et al.
Pubblicazione: (2025)

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
di: Chen, Junxi, et al.
Pubblicazione: (2024)

SAME: Sample Reconstruction against Model Extraction Attacks
di: Xie, Yi, et al.
Pubblicazione: (2023)

Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
di: Blasingame, Zander W., et al.
Pubblicazione: (2023)

Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
di: Shao, Mingwen, et al.
Pubblicazione: (2023)

SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
di: Zhang, Xin, et al.
Pubblicazione: (2026)

Training Data Protection with Compositional Diffusion Models
di: Golatkar, Aditya, et al.
Pubblicazione: (2023)

Transferable Adversarial Attacks on SAM and Its Downstream Models
di: Xia, Song, et al.
Pubblicazione: (2024)

Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
di: Wang, Shiming, et al.
Pubblicazione: (2024)

Diffusion Soup: Model Merging for Text-to-Image Diffusion Models
di: Biggs, Benjamin, et al.
Pubblicazione: (2024)

QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
di: Baras, Amit, et al.
Pubblicazione: (2023)

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
di: Cinà, Antonio Emanuele, et al.
Pubblicazione: (2024)

Data-free Defense of Black Box Models Against Adversarial Attacks
di: Nayak, Gaurav Kumar, et al.
Pubblicazione: (2022)

FameBias: Embedding Manipulation Bias Attack in Text-to-Image Models
di: Roh, Jaechul, et al.
Pubblicazione: (2024)

Attack Anything: Blind DNNs via Universal Background Adversarial Attack
di: Lian, Jiawei, et al.
Pubblicazione: (2024)

Universal Backdoor Attacks
di: Schneider, Benjamin, et al.
Pubblicazione: (2023)

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models
di: Darabi, Nastaran, et al.
Pubblicazione: (2025)

Evaluating Precise Geolocation Inference Capabilities of Vision Language Models
di: Jay, Neel, et al.
Pubblicazione: (2025)

DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
di: Cui, Yingqian, et al.
Pubblicazione: (2023)

IPFed: Identity protected federated learning for user authentication
di: Kaga, Yosuke, et al.
Pubblicazione: (2024)

On the Multi-modal Vulnerability of Diffusion Models
di: Yang, Dingcheng, et al.
Pubblicazione: (2024)

Inference Attacks: A Taxonomy, Survey, and Promising Directions
di: Wu, Feng, et al.
Pubblicazione: (2024)

Systematic Discovery of Semantic Attacks in Online Map Construction through Conditional Diffusion
di: Wang, Chenyi, et al.
Pubblicazione: (2026)

Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
di: Li, Wenda, et al.
Pubblicazione: (2024)

Diffence: Fencing Membership Privacy With Diffusion Models
di: Peng, Yuefeng, et al.
Pubblicazione: (2023)