Imagen de Portada

Enhancing Adversarial Attacks: The Similar Target Method

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhang, Shuo, Wang, Ziruo, Zhou, Zikai, Chen, Huanran
Formato:	Preprint
Publicado:	2023
Materias:	Computer Vision and Pattern Recognition Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
por: Zhou, Zikai, et al.
Publicado: (2023)

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

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

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

Dealing with Subject Similarity in Differential Morphing Attack Detection
por: Di Domenico, Nicolò, et al.
Publicado: (2024)

Similarity Distribution based Membership Inference Attack on Person Re-identification
por: Gao, Junyao, et al.
Publicado: (2022)

Query-Efficient Video Adversarial Attack with Stylized Logo
por: Tang, Duoxun, et al.
Publicado: (2024)

MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World
por: Zhou, Zheng, et al.
Publicado: (2023)

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

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

LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks
por: Costa, Joana C., et al.
Publicado: (2025)

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

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

IPA-NeRF: Illusory Poisoning Attack Against Neural Radiance Fields
por: Jiang, Wenxiang, et al.
Publicado: (2024)

Restoring Gaussian Blurred Face Images for Deanonymization Attacks
por: Zhai, Haoyu, et al.
Publicado: (2025)

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

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

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

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

Boosting Adversarial Transferability with Spatial Adversarial Alignment
por: Chen, Zhaoyu, et al.
Publicado: (2025)

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

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

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

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

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

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

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

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

Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
por: Oe, Issa, et al.
Publicado: (2025)

Multi-Target Federated Backdoor Attack Based on Feature Aggregation
por: Hao, Lingguag, et al.
Publicado: (2025)

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
por: Dong, Junhao, et al.
Publicado: (2023)

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

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

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
por: Zhang, Lei, et al.
Publicado: (2024)

Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
por: Huang, Binxiao, et al.
Publicado: (2024)

Attack Anything: Blind DNNs via Universal Background Adversarial Attack
por: Lian, Jiawei, et al.
Publicado: (2024)

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
por: Zheng, Junhao, et al.
Publicado: (2024)

Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis
por: Maag, Kira, et al.
Publicado: (2024)