Imagen de Portada

MMAD-Purify: A Precision-Optimized Framework for Efficient and Scalable Multi-Modal Attacks

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Xinxin, Guo, Zhongliang, Huang, Siyuan, Lau, Chun Pong
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping
por: Yam, Hon Ming, et al.
Publicado: (2025)

MMAD: Multi-label Micro-Action Detection in Videos
por: Li, Kun, et al.
Publicado: (2024)

DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection
por: Liu, Jiang, et al.
Publicado: (2023)

UniMMAD: Unified Multi-Modal and Multi-Class Anomaly Detection via MoE-Driven Feature Decompression
por: Zhao, Yuan, et al.
Publicado: (2025)

Distillation-guided Representation Learning for Unconstrained Gait Recognition
por: Guo, Yuxiang, et al.
Publicado: (2023)

Towards more transferable adversarial attack in black-box manner
por: Lei, Chun Tong, et al.
Publicado: (2025)

Thermal-Only Crowd Counting with Deployment-Time Privacy Protection
por: Qian, Yifei, et al.
Publicado: (2026)

Instant Adversarial Purification with Adversarial Consistency Distillation
por: Lei, Chun Tong, et al.
Publicado: (2024)

Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
por: Guo, Zhongliang, et al.
Publicado: (2025)

T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
por: Qian, Yifei, et al.
Publicado: (2025)

A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
por: Guo, Zhongliang, et al.
Publicado: (2024)

PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection
por: Duong, Minh Quoc, et al.
Publicado: (2026)

MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection
por: Jiang, Xi, et al.
Publicado: (2024)

Diffusion or Non-Diffusion Adversarial Defenses: Rethinking the Relation between Classifier and Adversarial Purifier
por: Chen, Yuan-Chih, et al.
Publicado: (2025)

LEO-VL: Efficient Scene Representation for Scalable 3D Vision-Language Learning
por: Huang, Jiangyong, et al.
Publicado: (2025)

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
por: Guo, Ping, et al.
Publicado: (2025)

GeoPurify: A Data-Efficient Geometric Distillation Framework for Open-Vocabulary 3D Segmentation
por: Dou, Weijia, et al.
Publicado: (2025)

MM-LDM: Multi-Modal Latent Diffusion Model for Sounding Video Generation
por: Sun, Mingzhen, et al.
Publicado: (2024)

PG-Attack: A Precision-Guided Adversarial Attack Framework Against Vision Foundation Models for Autonomous Driving
por: Fu, Jiyuan, et al.
Publicado: (2024)

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

Purify-then-Align: Towards Robust Human Sensing under Modality Missing with Knowledge Distillation from Noisy Multimodal Teacher
por: Weng, Pengcheng, et al.
Publicado: (2026)

SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception
por: Li, Yiheng, et al.
Publicado: (2024)

Feature Purified Transformer With Cross-level Feature Guiding Decoder For Multi-class OOD and Anomaly Deteciton
por: Lin, Jerry Chun-Wei, et al.
Publicado: (2024)

Scalable Framework for Classifying AI-Generated Content Across Modalities
por: Duong, Anh-Kiet, et al.
Publicado: (2025)

Cross-Modality Attack Boosted by Gradient-Evolutionary Multiform Optimization
por: Gong, Yunpeng, et al.
Publicado: (2024)

Neural Antidote: Class-Wise Prompt Tuning for Purifying Backdoors in CLIP
por: Kong, Jiawei, et al.
Publicado: (2025)

A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
por: Liu, Yuxiao, et al.
Publicado: (2024)

Multi-GRPO: Multi-Group Advantage Estimation for Text-to-Image Generation with Tree-Based Trajectories and Multiple Rewards
por: Lyu, Qiang, et al.
Publicado: (2025)

Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis
por: Chefer, Hila, et al.
Publicado: (2026)

Towards Universal Physical Adversarial Attacks via a Joint Multi-Objective and Multi-Model Optimization Framework
por: Liu, Ziyang, et al.
Publicado: (2026)

MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
por: Jin, Xin, et al.
Publicado: (2025)

CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion
por: Guo, Yaowei, et al.
Publicado: (2025)

Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition
por: Liu, Jinfu, et al.
Publicado: (2024)

Towards Flexible, Scalable, and Adaptive Multi-Modal Conditioned Face Synthesis
por: Ren, Jingjing, et al.
Publicado: (2023)

TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers
por: Wesego, Daniel, et al.
Publicado: (2026)

MRStyle: A Unified Framework for Color Style Transfer with Multi-Modality Reference
por: Huang, Jiancheng, et al.
Publicado: (2024)

MSM-Seg: A Modality-and-Slice Memory Framework with Category-Agnostic Prompting for Multi-Modal Brain Tumor Segmentation
por: Luo, Yuxiang, et al.
Publicado: (2025)

Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration
por: Li, Yawei, et al.
Publicado: (2025)

Purified and Unified Steganographic Network
por: Li, Guobiao, et al.
Publicado: (2024)

Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
por: Liu, Xu, et al.
Publicado: (2026)