ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
Fuente:
arXiv
Saved in:
| Main Authors: | Cao, Hanwen, Lu, Haobo, Wang, Xiaosen, He, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
by: Sun, Shihua, et al.
Published: (2024)
by: Sun, Shihua, et al.
Published: (2024)
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
by: Ren, Yuchen, et al.
Published: (2025)
by: Ren, Yuchen, et al.
Published: (2025)
MMA-Diffusion: MultiModal Attack on Diffusion Models
by: Yang, Yijun, et al.
Published: (2023)
by: Yang, Yijun, et al.
Published: (2023)
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
by: Wu, Shangbo, et al.
Published: (2025)
by: Wu, Shangbo, et al.
Published: (2025)
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)
by: Wang, Jiafeng, et al.
Published: (2022)
A Random Ensemble of Encrypted models for Enhancing Robustness against Adversarial Examples
by: Iijima, Ryota, et al.
Published: (2024)
by: Iijima, Ryota, et al.
Published: (2024)
Attacking Transformers with Feature Diversity Adversarial Perturbation
by: Gao, Chenxing, et al.
Published: (2024)
by: Gao, Chenxing, et al.
Published: (2024)
Adversarial Attacks of Vision Tasks in the Past 10 Years: A Survey
by: Zhang, Chiyu, et al.
Published: (2024)
by: Zhang, Chiyu, et al.
Published: (2024)
One Prompt to Verify Your Models: Black-Box Text-to-Image Models Verification via Non-Transferable Adversarial Attacks
by: Guo, Ji, et al.
Published: (2024)
by: Guo, Ji, et al.
Published: (2024)
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
by: Yin, Ziyi, et al.
Published: (2023)
by: Yin, Ziyi, et al.
Published: (2023)
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models
by: Zhao, Kaikang, et al.
Published: (2024)
by: Zhao, Kaikang, et al.
Published: (2024)
Query-Efficient Video Adversarial Attack with Stylized Logo
by: Tang, Duoxun, et al.
Published: (2024)
by: Tang, Duoxun, et al.
Published: (2024)
ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
by: Amin, Al, et al.
Published: (2024)
by: Amin, Al, et al.
Published: (2024)
Transferable Adversarial Attacks on SAM and Its Downstream Models
by: Xia, Song, et al.
Published: (2024)
by: Xia, Song, et al.
Published: (2024)
Boosting Adversarial Transferability via Residual Perturbation Attack
by: Peng, Jinjia, et al.
Published: (2025)
by: Peng, Jinjia, et al.
Published: (2025)
BadViM: Backdoor Attack against Vision Mamba
by: Wu, Yinghao, et al.
Published: (2025)
by: Wu, Yinghao, et al.
Published: (2025)
Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
by: Xie, Yong, et al.
Published: (2024)
by: Xie, Yong, et al.
Published: (2024)
Adversarial Detection by Approximation of Ensemble Boundary
by: Windeatt, T.
Published: (2022)
by: Windeatt, T.
Published: (2022)
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
by: Yehezkel, Oryan, et al.
Published: (2024)
by: Yehezkel, Oryan, et al.
Published: (2024)
Megatron: Evasive Clean-Label Backdoor Attacks against Vision Transformer
by: Gong, Xueluan, et al.
Published: (2024)
by: Gong, Xueluan, et al.
Published: (2024)
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
by: Chen, Junxi, et al.
Published: (2024)
by: Chen, Junxi, et al.
Published: (2024)
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation
by: Zhong, Zhiyuan, et al.
Published: (2025)
by: Zhong, Zhiyuan, et al.
Published: (2025)
PASTA: A Patch-Agnostic Twofold-Stealthy Backdoor Attack on Vision Transformers
by: Liu, Dazhuang, et al.
Published: (2026)
by: Liu, Dazhuang, et al.
Published: (2026)
MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models
by: Wang, Yanting, et al.
Published: (2024)
by: Wang, Yanting, et al.
Published: (2024)
Security Risk of Misalignment between Text and Image in Multi-modal Model
by: Wang, Xiaosen, et al.
Published: (2025)
by: Wang, Xiaosen, et al.
Published: (2025)
Improving Adversarial Transferability of Vision-Language Pre-training Models through Collaborative Multimodal Interaction
by: Fu, Jiyuan, et al.
Published: (2024)
by: Fu, Jiyuan, et al.
Published: (2024)
Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)
by: Zhang, Shuo, et al.
Published: (2023)
Boosting Adversarial Transferability with Spatial Adversarial Alignment
by: Chen, Zhaoyu, et al.
Published: (2025)
by: Chen, Zhaoyu, et al.
Published: (2025)
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers
by: Gong, Xueluan, et al.
Published: (2024)
by: Gong, Xueluan, et al.
Published: (2024)
Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023)
by: Li, Qizhang, et al.
Published: (2023)
Stealthy Multi-Task Adversarial Attacks
by: Guo, Jiacheng, et al.
Published: (2024)
by: Guo, Jiacheng, et al.
Published: (2024)
EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees
by: Hoang, Duc C., et al.
Published: (2023)
by: Hoang, Duc C., et al.
Published: (2023)
SE-Enhanced ViT and BiLSTM-Based Intrusion Detection for Secure IIoT and IoMT Environments
by: Gueriani, Afrah, et al.
Published: (2026)
by: Gueriani, Afrah, et al.
Published: (2026)
ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models
by: Yook, Hyun Jun, et al.
Published: (2025)
by: Yook, Hyun Jun, et al.
Published: (2025)
Improving Adversarial Transferability with Neighbourhood Gradient Information
by: Guo, Haijing, et al.
Published: (2024)
by: Guo, Haijing, et al.
Published: (2024)
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
by: Wu, Tao, et al.
Published: (2025)
by: Wu, Tao, et al.
Published: (2025)
A Note on Implementation Errors in Recent Adaptive Attacks Against Multi-Resolution Self-Ensembles
by: Fort, Stanislav
Published: (2025)
by: Fort, Stanislav
Published: (2025)
Snowball Adversarial Attack on Traffic Sign Classification
by: Etim, Anthony, et al.
Published: (2025)
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)
by: Diao, Yunfeng, et al.
Published: (2024)
Similar Items
-
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
by: Sun, Shihua, et al.
Published: (2024) -
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
by: Ren, Yuchen, et al.
Published: (2025) -
MMA-Diffusion: MultiModal Attack on Diffusion Models
by: Yang, Yijun, et al.
Published: (2023) -
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
by: Wu, Shangbo, et al.
Published: (2025) -
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)