:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yu-Hang, Wang, Li, Shiwei, Liao, Jianxiang, Bohan, Li, Liu, Jian, Yin, Wenfei
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence C.1.2
Online Access:	https://arxiv.org/abs/2508.03213
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
by: Zhou, Fengfan, et al.
Published: (2024)

Boosting the Local Invariance for Better Adversarial Transferability
by: Liu, Bohan, et al.
Published: (2025)

Adversarial Robustness for Unified Multi-Modal Encoders via Efficient Calibration
by: Liao, Chih-Ting, et al.
Published: (2025)

Adversarial Reconstruction Feedback for Robust Fine-grained Generalization
by: Wang, Shijie, et al.
Published: (2025)

Challenger: Affordable Adversarial Driving Video Generation
by: Xu, Zhiyuan, et al.
Published: (2025)

Many-MobileNet: Multi-Model Augmentation for Robust Retinal Disease Classification
by: Wang, Hao, et al.
Published: (2024)

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

Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
by: Liu, Chang, et al.
Published: (2023)

Robust Alignment: Harmonizing Clean Accuracy and Adversarial Robustness in Adversarial Training
by: Wang, Yanyun, et al.
Published: (2026)

Patch-Wise Hypergraph Contrastive Learning with Dual Normal Distribution Weighting for Multi-Domain Stain Transfer
by: Wei, Haiyan, et al.
Published: (2025)

Enhancing Robustness of Indoor Robotic Navigation with Free-Space Segmentation Models Against Adversarial Attacks
by: An, Qiyuan, et al.
Published: (2024)

Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification
by: Zhou, Yuhang, et al.
Published: (2025)

CapGen:An Environment-Adaptive Generator of Adversarial Patches
by: Li, Chaoqun, et al.
Published: (2024)

Spider: Any-to-Many Multimodal LLM
by: Lai, Jinxiang, et al.
Published: (2024)

CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection
by: Cheng, Zhixin, et al.
Published: (2025)

On the Importance of Backbone to the Adversarial Robustness of Object Detectors
by: Li, Xiao, et al.
Published: (2023)

Rethinking Robust Adversarial Concept Erasure in Diffusion Models
by: Yin, Qinghong, et al.
Published: (2025)

PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets
by: Li, Haoran, et al.
Published: (2026)

Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs
by: Ma, Rong, et al.
Published: (2024)

Evaluating Adversarial Robustness in the Spatial Frequency Domain
by: Liao, Keng-Hsin, et al.
Published: (2024)

From One-to-One to Many-to-Many: Dynamic Cross-Layer Injection for Deep Vision-Language Fusion
by: Chen, Cheng, et al.
Published: (2026)

Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
by: Li, Yun, et al.
Published: (2024)

Adversarial Reweighting with $α$-Power Maximization for Domain Adaptation
by: Gu, Xiang, et al.
Published: (2024)

MEAT: Median-Ensemble Adversarial Training for Improving Robustness and Generalization
by: Hu, Zhaozhe, et al.
Published: (2024)

Towards Communication-Efficient Adversarial Federated Learning for Robust Edge Intelligence
by: Qiao, Yu, et al.
Published: (2025)

Prompt-Guided Environmentally Consistent Adversarial Patch
by: Li, Chaoqun, et al.
Published: (2024)

Toward Robust and Accurate Adversarial Camouflage Generation against Vehicle Detectors
by: Zhou, Jiawei, et al.
Published: (2024)

EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection
by: Li, Pengyu, et al.
Published: (2024)

Deploy DINO with Many-to-Many Association
by: Jiang, Haodong, et al.
Published: (2026)

Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
by: Li, Yi, et al.
Published: (2024)

VirtueBench: Evaluating Trustworthiness under Uncertainty in Long Video Understanding
by: Yu, Xueqing, et al.
Published: (2026)

Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
by: Mei, Hefei, et al.
Published: (2024)

AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
by: Li, Lin, et al.
Published: (2023)

ViT-Split: Unleashing the Power of Vision Foundation Models via Efficient Splitting Heads
by: Li, Yifan, et al.
Published: (2025)

AGC: Adaptive Geodesic Correction for Adversarial Robustness on Vision-Language Models
by: Li, Zhiwei, et al.
Published: (2026)

InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models
by: Liu, Xinxin, et al.
Published: (2026)

On the Mechanisms of Adversarial Data Augmentation for Robust and Adaptive Transfer Learning
by: Satou, Hana, et al.
Published: (2025)

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

Learning Event Completeness for Weakly Supervised Video Anomaly Detection
by: Wang, Yu, et al.
Published: (2025)

NAP-Tuning: Neural Augmented Prompt Tuning for Adversarially Robust Vision-Language Models
by: Zhang, Jiaming, et al.
Published: (2025)