Beauty and the Beast: Imperceptible Perturbations Against Diffusion-Based Face Swapping via Directional Attribute Editing
Fuente:
arXiv
Guardado en:
| Autores principales: | Huang, Yilong, Li, Songze |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Towards Robust Protective Perturbation against DeepFake Face Swapping
por: Yao, Hengyang, et al.
Publicado: (2025)
por: Yao, Hengyang, et al.
Publicado: (2025)
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
por: Hong, Ziming, et al.
Publicado: (2025)
por: Hong, Ziming, et al.
Publicado: (2025)
IU: Imperceptible Universal Backdoor Attack
por: Lin, Hsin, et al.
Publicado: (2026)
por: Lin, Hsin, et al.
Publicado: (2026)
Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
por: He, Yuhao, et al.
Publicado: (2025)
por: He, Yuhao, et al.
Publicado: (2025)
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
por: Wang, Yinggui, et al.
Publicado: (2024)
por: Wang, Yinggui, et al.
Publicado: (2024)
Transparency Attacks: How Imperceptible Image Layers Can Fool AI Perception
por: McKee, Forrest, et al.
Publicado: (2024)
por: McKee, Forrest, et al.
Publicado: (2024)
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
por: Xu, Jingyao, et al.
Publicado: (2024)
por: Xu, Jingyao, et al.
Publicado: (2024)
How does Watermarking Affect Visual Language Models in Document Understanding?
por: Xu, Chunxue, et al.
Publicado: (2025)
por: Xu, Chunxue, et al.
Publicado: (2025)
DiffMI: Breaking Face Recognition Privacy via Diffusion-Driven Training-Free Model Inversion
por: Wang, Hanrui, et al.
Publicado: (2025)
por: Wang, Hanrui, et al.
Publicado: (2025)
Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
por: Blasingame, Zander W., et al.
Publicado: (2023)
por: Blasingame, Zander W., et al.
Publicado: (2023)
IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning
por: Wang, Jiayao, et al.
Publicado: (2025)
por: Wang, Jiayao, et al.
Publicado: (2025)
Boosting Adversarial Transferability via Residual Perturbation Attack
por: Peng, Jinjia, et al.
Publicado: (2025)
por: Peng, Jinjia, et al.
Publicado: (2025)
Deep Learning with Data Privacy via Residual Perturbation
por: Tao, Wenqi, et al.
Publicado: (2024)
por: Tao, Wenqi, et al.
Publicado: (2024)
SemBind: Binding Diffusion Watermarks to Semantics Against Black-Box Forgery Attacks
por: Zhang, Xin, et al.
Publicado: (2026)
por: Zhang, Xin, et al.
Publicado: (2026)
EditTrack: Detecting and Attributing AI-assisted Image Editing
por: Jiang, Zhengyuan, et al.
Publicado: (2025)
por: Jiang, Zhengyuan, et al.
Publicado: (2025)
Bi-Erasing: A Bidirectional Framework for Concept Removal in Diffusion Models
por: Chen, Hao, et al.
Publicado: (2025)
por: Chen, Hao, et al.
Publicado: (2025)
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
por: Li, Shuai, et al.
Publicado: (2024)
por: Li, Shuai, et al.
Publicado: (2024)
A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
por: Wang, Huan-Chih, et al.
Publicado: (2024)
por: Wang, Huan-Chih, et al.
Publicado: (2024)
Penny Wise, Pixel Foolish: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations
por: Qian, Jiachen, et al.
Publicado: (2026)
por: Qian, Jiachen, et al.
Publicado: (2026)
Forensics Adapter: Unleashing CLIP for Generalizable Face Forgery Detection
por: Cui, Xinjie, et al.
Publicado: (2024)
por: Cui, Xinjie, et al.
Publicado: (2024)
Does CLIP Know My Face?
por: Hintersdorf, Dominik, et al.
Publicado: (2022)
por: Hintersdorf, Dominik, et al.
Publicado: (2022)
CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
por: Serengil, Sefik, et al.
Publicado: (2025)
por: Serengil, Sefik, et al.
Publicado: (2025)
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
por: Zimmer, Pascal, et al.
Publicado: (2025)
por: Zimmer, Pascal, et al.
Publicado: (2025)
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
por: Yilmaz, Eda, et al.
Publicado: (2024)
por: Yilmaz, Eda, et al.
Publicado: (2024)
DiffBreak: Is Diffusion-Based Purification Robust?
por: Kassis, Andre, et al.
Publicado: (2024)
por: Kassis, Andre, et al.
Publicado: (2024)
Beyond Full Poisoning: Effective Availability Attacks with Partial Perturbation
por: Zhe, Yu, et al.
Publicado: (2024)
por: Zhe, Yu, et al.
Publicado: (2024)
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
por: Ying, Chengyang, et al.
Publicado: (2022)
por: Ying, Chengyang, et al.
Publicado: (2022)
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
por: Wang, Xuyang, et al.
Publicado: (2025)
por: Wang, Xuyang, et al.
Publicado: (2025)
Learning Counterfactually Decoupled Attention for Open-World Model Attribution
por: Zheng, Yu, et al.
Publicado: (2025)
por: Zheng, Yu, et al.
Publicado: (2025)
Robust Classification via a Single Diffusion Model
por: Chen, Huanran, et al.
Publicado: (2023)
por: Chen, Huanran, et al.
Publicado: (2023)
Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
por: Singh, Naman Deep, et al.
Publicado: (2024)
por: Singh, Naman Deep, et al.
Publicado: (2024)
Identifying Physically Realizable Triggers for Backdoored Face Recognition Networks
por: Raj, Ankita, et al.
Publicado: (2025)
por: Raj, Ankita, et al.
Publicado: (2025)
Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks
por: Xiao, Yaxin, et al.
Publicado: (2025)
por: Xiao, Yaxin, et al.
Publicado: (2025)
Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion
por: Shpilevskiy, Frederick, et al.
Publicado: (2025)
por: Shpilevskiy, Frederick, et al.
Publicado: (2025)
SaFL: Sybil-aware Federated Learning with Application to Face Recognition
por: Ghafourian, Mahdi, et al.
Publicado: (2023)
por: Ghafourian, Mahdi, et al.
Publicado: (2023)
Enhancing Remote Adversarial Patch Attacks on Face Detectors with Tiling and Scaling
por: Okano, Masora, et al.
Publicado: (2024)
por: Okano, Masora, et al.
Publicado: (2024)
Shallow Diffuse: Robust and Invisible Watermarking through Low-Dimensional Subspaces in Diffusion Models
por: Li, Wenda, et al.
Publicado: (2024)
por: Li, Wenda, et al.
Publicado: (2024)
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
por: Yang, Sheng, et al.
Publicado: (2024)
por: Yang, Sheng, et al.
Publicado: (2024)
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
por: Liu, Bochao, et al.
Publicado: (2024)
por: Liu, Bochao, et al.
Publicado: (2024)
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
por: Shao, Mingwen, et al.
Publicado: (2023)
por: Shao, Mingwen, et al.
Publicado: (2023)
Ejemplares similares
-
Towards Robust Protective Perturbation against DeepFake Face Swapping
por: Yao, Hengyang, et al.
Publicado: (2025) -
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
por: Hong, Ziming, et al.
Publicado: (2025) -
IU: Imperceptible Universal Backdoor Attack
por: Lin, Hsin, et al.
Publicado: (2026) -
Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation
por: He, Yuhao, et al.
Publicado: (2025) -
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack
por: Wang, Yinggui, et al.
Publicado: (2024)