Cover Image

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Ouxiang, Hao, Yanbin, Wang, Zhicai, Zhu, Bin, Wang, Shuo, Zhang, Zaixi, Feng, Fuli
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
by: Li, Ouxiang, et al.
Published: (2025)

Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
by: Li, Ouxiang, et al.
Published: (2024)

Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
by: Li, Chenxu, et al.
Published: (2025)

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
by: Wang, Zhicai, et al.
Published: (2024)

PosMLP-Video: Spatial and Temporal Relative Position Encoding for Efficient Video Recognition
by: Hao, Yanbin, et al.
Published: (2024)

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting
by: Zhu, Xingyu, et al.
Published: (2024)

Look Carefully: Adaptive Visual Reinforcements in Multimodal Large Language Models for Hallucination Mitigation
by: Zhu, Xingyu, et al.
Published: (2026)

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models
by: Xiang, Qianlong, et al.
Published: (2026)

Dynamic Multimodal Prototype Learning in Vision-Language Models
by: Zhu, Xingyu, et al.
Published: (2025)

Easier Painting Than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
by: Li, Ouxiang, et al.
Published: (2025)

Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
by: Wang, Yuan, et al.
Published: (2024)

Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
by: Zhu, Xingyu, et al.
Published: (2026)

A Sanity Check for AI-generated Image Detection
by: Yan, Shilin, et al.
Published: (2024)

Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models
by: Zhang, Zhifang, et al.
Published: (2025)

Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses
by: Fang, Hao, et al.
Published: (2024)

SoftCap: Soft-Budget Control for Diffusion Transformer Acceleration
by: Zhang, Yuhang, et al.
Published: (2026)

On the Vulnerability of Skip Connections to Model Inversion Attacks
by: Koh, Jun Hao, et al.
Published: (2024)

Accelerating Diffusion Transformer via Error-Optimized Cache
by: Qiu, Junxiang, et al.
Published: (2025)

Compositional Inversion for Stable Diffusion Models
by: Zhang, Xulu, et al.
Published: (2023)

UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models
by: Li, Jinke, et al.
Published: (2025)

Accelerating Diffusion Transformer via Gradient-Optimized Cache
by: Qiu, Junxiang, et al.
Published: (2025)

Model-Agnostic Human Preference Inversion in Diffusion Models
by: Kim, Jeeyung, et al.
Published: (2024)

DCI: Dual-Conditional Inversion for Boosting Diffusion-Based Image Editing
by: Li, Zixiang, et al.
Published: (2025)

MIBench: A Comprehensive Framework for Benchmarking Model Inversion Attack and Defense
by: Qiu, Yixiang, et al.
Published: (2024)

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
by: Qiu, Yixiang, et al.
Published: (2024)

Revealing Vulnerabilities in Stable Diffusion via Targeted Attacks
by: Zhang, Chenyu, et al.
Published: (2024)

Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model
by: Wang, Yuan, et al.
Published: (2026)

CookingDiffusion: Cooking Procedural Image Generation with Stable Diffusion
by: Wang, Yuan, et al.
Published: (2025)

GI-NAS: Boosting Gradient Inversion Attacks Through Adaptive Neural Architecture Search
by: Yu, Wenbo, et al.
Published: (2024)

Selective Vision-Language Subspace Projection for Few-shot CLIP
by: Zhu, Xingyu, et al.
Published: (2024)

SeViCES: Unifying Semantic-Visual Evidence Consensus for Long Video Understanding
by: Sheng, Yuan, et al.
Published: (2025)

Enhancing Gradient Inversion Attacks in Federated Learning via Hierarchical Feature Optimization
by: Fang, Hao, et al.
Published: (2026)

Hierarchical Space-Time Attention for Micro-Expression Recognition
by: Hao, Haihong, et al.
Published: (2024)

CoDiff: Conditional Diffusion Model for Collaborative 3D Object Detection
by: Huang, Zhe, et al.
Published: (2025)

EDITOR: Effective and Interpretable Prompt Inversion for Text-to-Image Diffusion Models
by: Li, Mingzhe, et al.
Published: (2025)

An Inversion-based Measure of Memorization for Diffusion Models
by: Ma, Zhe, et al.
Published: (2024)

Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)

Guiding Diffusion Models with Semantically Degraded Conditions
by: Han, Shilong, et al.
Published: (2026)

Boosting Few-Shot Learning via Attentive Feature Regularization
by: Zhu, Xingyu, et al.
Published: (2024)

Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
by: Li, Ruibin, et al.
Published: (2024)