:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ying, Zijian, Li, Qianmu, Wang, Tao, Lian, Zhichao, Meng, Shunmei, Zhang, Xuyun
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2407.01925
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Understanding CNNs from excitations
by: Ying, Zijian, et al.
Published: (2022)

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
by: Kui, Xiaoyan, et al.
Published: (2025)

NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
by: Nakka, Krishna Kanth, et al.
Published: (2025)

Boosting Adversarial Transferability via Residual Perturbation Attack
by: Peng, Jinjia, et al.
Published: (2025)

Reverse Attitude Statistics Based Star Map Identification Method
by: Dong, Shunmei, et al.
Published: (2024)

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
by: Fang, Hao, et al.
Published: (2024)

Benchmarking Transferable Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)

XSPA: Crafting Imperceptible X-Shaped Sparse Adversarial Perturbations for Transferable Attacks on VLMs
by: Hu, Chengyin, et al.
Published: (2026)

Robust Spiking Neural Networks Against Adversarial Attacks
by: Wang, Shuai, et al.
Published: (2026)

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

Rethinking Model Ensemble in Transfer-based Adversarial Attacks
by: Chen, Huanran, et al.
Published: (2023)

Transferable Adversarial Face Attack with Text Controlled Attribute
by: Li, Wenyun, et al.
Published: (2024)

Physical ID-Transfer Attacks against Multi-Object Tracking via Adversarial Trajectory
by: Wang, Chenyi, et al.
Published: (2025)

Distillation-Enhanced Physical Adversarial Attacks
by: Liu, Wei, 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)

Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
by: Li, Jian-Wei, et al.
Published: (2025)

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
by: Jiang, Kaixun, et al.
Published: (2025)

Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration
by: Zhou, Fengfan, et al.
Published: (2023)

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
by: Wu, Tao, et al.
Published: (2025)

Multi-Paradigm Collaborative Adversarial Attack Against Multi-Modal Large Language Models
by: Li, Yuanbo, et al.
Published: (2026)

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

Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
by: Fang, Zhengwei, et al.
Published: (2022)

Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective
by: Han, Xiaoxuan, et al.
Published: (2024)

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization
by: Guesmi, Amira, et al.
Published: (2025)

A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks
by: Qiu, Yixiang, et al.
Published: (2024)

SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
by: Kang, Jingdan, et al.
Published: (2025)

Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)

Iterative Adversarial Attack on Image-guided Story Ending Generation
by: Wang, Youze, et al.
Published: (2023)

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
by: Song, Yufei, et al.
Published: (2026)

Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
by: Li, Ping, et al.
Published: (2025)

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

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
by: Xie, Peng, et al.
Published: (2024)

Real-World Transferable Adversarial Attack on Face-Recognition Systems
by: Kaznacheev, Andrey, et al.
Published: (2025)

FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs
by: Li, Jinmin, et al.
Published: (2024)

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
by: Li, Teng, et al.
Published: (2025)

Adaptive Perturbation for Adversarial Attack
by: Yuan, Zheng, et al.
Published: (2021)

X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
by: Huang, Hanxun, et al.
Published: (2025)

Robustness in AI-Generated Detection: Enhancing Resistance to Adversarial Attacks
by: Haoxuan, Sun, et al.
Published: (2025)

Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
by: Cheng, Hao, et al.
Published: (2024)

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack
by: Li, Jinlong, et al.
Published: (2024)