:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Bianchettin, Stefano, Rossolini, Giulio, Buttazzo, Giorgio
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.11590
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications
by: Rossolini, Giulio, et al.
Published: (2023)

Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
by: Pietrosanti, Giulia Marchiori, et al.
Published: (2025)

CARLA-GeAR: a Dataset Generator for a Systematic Evaluation of Adversarial Robustness of Vision Models
by: Nesti, Federico, et al.
Published: (2022)

On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving
by: Rossolini, Giulio, et al.
Published: (2022)

Edge-Only Universal Adversarial Attacks in Distributed Learning
by: Rossolini, Giulio, et al.
Published: (2024)

PairedGTA: Generating Driving Datasets for Controlled Photometric Shift Analysis
by: Chianese, Andrea, et al.
Published: (2026)

Video Deblurring by Sharpness Prior Detection and Edge Information
by: Tian, Yang, et al.
Published: (2025)

Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis
by: Rossolini, Giulio, et al.
Published: (2022)

CORT: Class-Oriented Real-time Tracking for Embedded Systems
by: Cittadini, Edoardo, et al.
Published: (2024)

A Comparative Analysis of Visual Odometry in Virtual and Real-World Railways Environments
by: D'Amico, Gianluca, et al.
Published: (2024)

OSDaR-AR: Enhancing Railway Perception Datasets via Multi-modal Augmented Reality
by: Nesti, Federico, et al.
Published: (2026)

ChordFormer: A Conformer-Based Architecture for Large-Vocabulary Audio Chord Recognition
by: Akram, Muhammad Waseem, et al.
Published: (2025)

PointMAC: Meta-Learned Adaptation for Robust Test-Time Point Cloud Completion
by: Jiang, Linlian, et al.
Published: (2025)

Test-Time Modification: Inverse Domain Transformation for Robust Perception
by: Jadon, Arpit, et al.
Published: (2025)

CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation
by: Lafon, Marc, et al.
Published: (2025)

Low-Cost Test-Time Adaptation for Robust Video Editing
by: Wang, Jianhui, et al.
Published: (2025)

Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
by: Tang, Linyu, et al.
Published: (2024)

Channel-Selective Normalization for Label-Shift Robust Test-Time Adaptation
by: Vianna, Pedro, et al.
Published: (2024)

SteeringTTA: Guiding Diffusion Trajectories for Robust Test-Time-Adaptation
by: Yu, Jihyun, et al.
Published: (2025)

Test-Time Canonicalization by Foundation Models for Robust Perception
by: Singhal, Utkarsh, et al.
Published: (2025)

Reg-TTR, Test-Time Refinement for Fast, Robust and Accurate Image Registration
by: Chen, Lin, et al.
Published: (2026)

Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models
by: Mishra, Shambhavi, et al.
Published: (2024)

Improving Adversarial Robustness Through Adaptive Learning-Driven Multi-Teacher Knowledge Distillation
by: Ullah, Hayat, et al.
Published: (2025)

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
by: Bahri, Ali, et al.
Published: (2025)

TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
by: Wang, Xin, et al.
Published: (2024)

Towards Railway Domain Adaptation for LiDAR-based 3D Detection: Road-to-Rail and Sim-to-Real via SynDRA-BBox
by: Diaz, Xavier, et al.
Published: (2025)

Distilling Adversarial Robustness Using Heterogeneous Teachers
by: Deng, Jieren, et al.
Published: (2024)

Integrating Object Detection, LiDAR-Enhanced Depth Estimation, and Segmentation Models for Railway Environments
by: Giannico, Enrico Francesco, et al.
Published: (2026)

Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP
by: Nie, Sen, et al.
Published: (2026)

Scaling Test-Time Robustness of Vision-Language Models via Self-Critical Inference Framework
by: Tang, Kaihua, et al.
Published: (2026)

Calibrated Diverse Ensemble Entropy Minimization for Robust Test-Time Adaptation in Prostate Cancer Detection
by: Gilany, Mahdi, et al.
Published: (2024)

Exploring the Robustness of AI-Driven Tools in Digital Forensics: A Preliminary Study
by: Sanna, Silvia Lucia, et al.
Published: (2024)

Increasing the Confidence of Deep Neural Networks by Coverage Analysis
by: Rossolini, Giulio, et al.
Published: (2021)

Advancing Pre-trained Teacher: Towards Robust Feature Discrepancy for Anomaly Detection
by: Tang, Canhui, et al.
Published: (2024)

Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for Vision-Language Models
by: Hai, Jia-Wei, et al.
Published: (2026)

GDA: Generalized Diffusion for Robust Test-time Adaptation
by: Tsai, Yun-Yun, et al.
Published: (2024)

Towards Robust Federated Learning via Logits Calibration on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)

Learning Occlusion-Robust Vision Transformers for Real-Time UAV Tracking
by: Wu, You, et al.
Published: (2025)

VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization
by: Cheng, Junhao, et al.
Published: (2026)

A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models
by: Mirza, Mujtaba Hussain, et al.
Published: (2026)