:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Xinxin, Guo, Zhongliang, Huang, Siyuan, Lau, Chun Pong
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2410.14089
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Purified and Unified Steganographic Network
by: Li, Guobiao, et al.
Published: (2024)

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

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

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

SpaceSeg: A High-Precision Intelligent Perception Segmentation Method for Multi-Spacecraft On-Orbit Targets
by: Liu, Hao, et al.
Published: (2025)

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

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

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

Towards Calibration Enhanced Network by Inverse Adversarial Attack
by: Cheng, Yupeng, et al.
Published: (2025)

LaVi: Efficient Large Vision-Language Models via Internal Feature Modulation
by: Yue, Tongtian, et al.
Published: (2025)

LCV2I: Communication-Efficient and High-Performance Collaborative Perception Framework with Low-Resolution LiDAR
by: Feng, Xinxin, et al.
Published: (2025)

T2V-OptJail: Discrete Prompt Optimization for Text-to-Video Jailbreak Attacks
by: Liu, Jiayang, et al.
Published: (2025)