Cover Image

Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maag, Kira, Resner, Roman, Fischer, Asja
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation
by: Maag, Kira, et al.
Published: (2023)

Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation
by: Maag, Kira, et al.
Published: (2023)

Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
by: Müller, Andreas, et al.
Published: (2024)

SAMSEM -- A Generic and Scalable Approach for IC Metal Line Segmentation
by: Gehrmann, Christian, et al.
Published: (2026)

Towards A Correct Usage of Cryptography in Semantic Watermarks for Diffusion Models
by: Thietke, Jonas, et al.
Published: (2025)

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

False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
by: Maag, Kira
Published: (2021)

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

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

Delving into Decision-based Black-box Attacks on Semantic Segmentation
by: Chen, Zhaoyu, et al.
Published: (2024)

ConSeg: Contextual Backdoor Attack Against Semantic Segmentation
by: Abbasi, Bilal Hussain, et al.
Published: (2025)

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

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

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

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

Optical Lens Attack on Deep Learning Based Monocular Depth Estimation
by: Zhou, Ce, et al.
Published: (2024)

Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
by: Lorenz, Peter, et al.
Published: (2022)

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

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

Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)

RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
by: Hull, Matthew, et al.
Published: (2024)

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

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)

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

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

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

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

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

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment
by: kumar, A. Karthick, et al.
Published: (2025)

Backdoor Mitigation in Object Detection via Adversarial Fine-Tuning
by: Dunnett, Kealan, et al.
Published: (2026)

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

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

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

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

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

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

Detection of Adversarial Attacks in Robotic Perception
by: Sharawy, Ziad, et al.
Published: (2026)

SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models
by: Wang, Mingsi, et al.
Published: (2025)

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

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