Query-Efficient Video Adversarial Attack with Stylized Logo

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Duoxun, Cao, Yuxin, Xiao, Xi, Wang, Derui, Wen, Sheng, Zhu, Tianqing
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer
by: Cao, Yuxin, et al.
Published: (2023)

StyleFool: Fooling Video Classification Systems via Style Transfer
by: Cao, Yuxin, et al.
Published: (2022)

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
by: Li, Jiyao, et al.
Published: (2024)

Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
by: Khine, Ei Hmue, et al.
Published: (2026)

Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation
by: Liu, Chi, et al.
Published: (2023)

Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
by: Huang, Linhao, et al.
Published: (2025)

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
by: Fan, Mingyuan, et al.
Published: (2024)

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
by: Cao, Hanwen, et al.
Published: (2025)

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

Attacking Transformers with Feature Diversity Adversarial Perturbation
by: Gao, Chenxing, et al.
Published: (2024)

Stealthy Multi-Task Adversarial Attacks
by: Guo, Jiacheng, et al.
Published: (2024)

Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
by: Yin, Ziyi, et al.
Published: (2023)

Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025)

Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks
by: Diao, Yunfeng, et al.
Published: (2024)

Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
by: Liu, Chi, et al.
Published: (2025)

MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
by: Wang, Yanting, et al.
Published: (2024)

XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
by: Pinhasov, Ben, et al.
Published: (2024)

CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack
by: Li, Zhan, et al.
Published: (2025)

Fall Leaf Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2024)

Imperceptible Adversarial Attacks on Point Clouds Guided by Point-to-Surface Field
by: Tang, Keke, et al.
Published: (2024)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)

AVA: Inconspicuous Attribute Variation-based Adversarial Attack bypassing DeepFake Detection
by: Meng, Xiangtao, et al.
Published: (2023)

Signal Adversarial Examples Generation for Signal Detection Network via White-Box Attack
by: Li, Dongyang, et al.
Published: (2024)

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
by: Zimmer, Pascal, et al.
Published: (2025)

Can You Trust What You See? Alpha Channel No-Box Attacks on Video Object Detection
by: Yi, Ariana, et al.
Published: (2025)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)

ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
by: Yook, Hyun Jun, et al.
Published: (2025)

Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
by: Zhang, Chiyu, et al.
Published: (2024)

Time Traveling to Defend Against Adversarial Example Attacks in Image Classification
by: Etim, Anthony, et al.
Published: (2024)

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
by: Lorenz, Peter, et al.
Published: (2021)

VideoSTF: Stress-Testing Output Repetition in Video Large Language Models
by: Cao, Yuxin, et al.
Published: (2026)

A Multi-task Adversarial Attack Against Face Authentication
by: Wang, Hanrui, et al.
Published: (2024)

PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
by: Guo, Ping, et al.
Published: (2024)

Revisiting Physical-World Adversarial Attack on Traffic Sign Recognition: A Commercial Systems Perspective
by: Wang, Ningfei, et al.
Published: (2024)

Disrupting Style Mimicry Attacks on Video Imagery
by: Passananti, Josephine, et al.
Published: (2024)

Cage-Based Deformation for Transferable and Undefendable Point Cloud Attack
by: Tang, Keke, et al.
Published: (2025)

VidLeaks: Membership Inference Attacks Against Text-to-Video Models
by: Wang, Li, et al.
Published: (2026)

Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
by: Waghela, Hetvi, et al.
Published: (2024)

Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
by: Etim, Anthony, et al.
Published: (2025)