Redesigning Traffic Signs to Mitigate Machine-Learning Patch Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Shua, Tsufit, David, Liron, Sharif, Mahmood |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sy-FAR: Symmetry-based Fair Adversarial Robustness
by: Najjar, Haneen, et al.
Published: (2025)
by: Najjar, Haneen, et al.
Published: (2025)
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
by: Salek, M Sabbir, et al.
Published: (2023)
by: Salek, M Sabbir, et al.
Published: (2023)
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023)
by: Kang, Caixin, et al.
Published: (2023)
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024)
by: Wei, Xingxing, et al.
Published: (2024)
Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
by: D'Urso, Brianna, et al.
Published: (2026)
by: D'Urso, Brianna, et al.
Published: (2026)
Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification
by: Majumder, Reek, et al.
Published: (2025)
by: Majumder, Reek, et al.
Published: (2025)
Group-based Robustness: A General Framework for Customized Robustness in the Real World
by: Lin, Weiran, et al.
Published: (2023)
by: Lin, Weiran, et al.
Published: (2023)
Adversarial Attack On Yolov5 For Traffic And Road Sign Detection
by: Jain, Sanyam
Published: (2023)
by: Jain, Sanyam
Published: (2023)
Poisoning Attacks on Federated Learning for Autonomous Driving
by: Garg, Sonakshi, et al.
Published: (2024)
by: Garg, Sonakshi, et al.
Published: (2024)
Backdoor Attacks on Deep Learning Face Detection
by: Roux, Quentin Le, et al.
Published: (2025)
by: Roux, Quentin Le, et al.
Published: (2025)
FedDefender: Backdoor Attack Defense in Federated Learning
by: Gill, Waris, et al.
Published: (2023)
by: Gill, Waris, et al.
Published: (2023)
PubDef: Defending Against Transfer Attacks From Public Models
by: Sitawarin, Chawin, et al.
Published: (2023)
by: Sitawarin, Chawin, et al.
Published: (2023)
Beyond Traditional Threats: A Persistent Backdoor Attack on Federated Learning
by: Liu, Tao, et al.
Published: (2024)
by: Liu, Tao, et al.
Published: (2024)
Synthetic Image Learning: Preserving Performance and Preventing Membership Inference Attacks
by: Lomurno, Eugenio, et al.
Published: (2024)
by: Lomurno, Eugenio, et al.
Published: (2024)
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack
by: Chen, Yukun, et al.
Published: (2025)
by: Chen, Yukun, et al.
Published: (2025)
Beyond Corner Patches: Semantics-Aware Backdoor Attack in Federated Learning
by: Herath, Kavindu, et al.
Published: (2026)
by: Herath, Kavindu, et al.
Published: (2026)
SoK: Pitfalls in Evaluating Black-Box Attacks
by: Suya, Fnu, et al.
Published: (2023)
by: Suya, Fnu, et al.
Published: (2023)
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape
by: Nguyen, Tuan, et al.
Published: (2024)
by: Nguyen, Tuan, et al.
Published: (2024)
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models
by: Sun, Ye, et al.
Published: (2026)
by: Sun, Ye, et al.
Published: (2026)
Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters
by: Sarkar, Soumyendu, et al.
Published: (2025)
by: Sarkar, Soumyendu, et al.
Published: (2025)
MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
by: Guo, Ping, et al.
Published: (2025)
by: Guo, Ping, et al.
Published: (2025)
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
by: Juraev, Firuz, et al.
Published: (2024)
by: Juraev, Firuz, et al.
Published: (2024)
GNSS/GPS Spoofing and Jamming Identification Using Machine Learning and Deep Learning
by: Ghanbarzade, Ali, et al.
Published: (2025)
by: Ghanbarzade, Ali, et al.
Published: (2025)
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder
by: Zheng, Jingjing, et al.
Published: (2024)
by: Zheng, Jingjing, et al.
Published: (2024)
Detection and Recovery Against Deep Neural Network Fault Injection Attacks Based on Contrastive Learning
by: Wang, Chenan, et al.
Published: (2024)
by: Wang, Chenan, et al.
Published: (2024)
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
by: Liu, Kuanrong, et al.
Published: (2024)
by: Liu, Kuanrong, et al.
Published: (2024)
NoiseAttack: An Evasive Sample-Specific Multi-Targeted Backdoor Attack Through White Gaussian Noise
by: Miah, Abdullah Arafat, et al.
Published: (2024)
by: Miah, Abdullah Arafat, et al.
Published: (2024)
AdvSecureNet: A Python Toolkit for Adversarial Machine Learning
by: Catal, Melih, et al.
Published: (2024)
by: Catal, Melih, et al.
Published: (2024)
Multimodal Attack Detection for Action Recognition Models
by: Mumcu, Furkan, et al.
Published: (2024)
by: Mumcu, Furkan, et al.
Published: (2024)
Improving the Transferability of Adversarial Attacks by an Input Transpose
by: Wan, Qing, et al.
Published: (2025)
by: Wan, Qing, et al.
Published: (2025)
Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
by: Ige, Tosin, et al.
Published: (2024)
by: Ige, Tosin, et al.
Published: (2024)
RoboSignature: Robust Signature and Watermarking on Network Attacks
by: Shaan, Aryaman, et al.
Published: (2024)
by: Shaan, Aryaman, et al.
Published: (2024)
Inference Attacks: A Taxonomy, Survey, and Promising Directions
by: Wu, Feng, et al.
Published: (2024)
by: Wu, Feng, et al.
Published: (2024)
SAME: Sample Reconstruction against Model Extraction Attacks
by: Xie, Yi, et al.
Published: (2023)
by: Xie, Yi, et al.
Published: (2023)
Task-Agnostic Attacks Against Vision Foundation Models
by: Pulfer, Brian, et al.
Published: (2025)
by: Pulfer, Brian, et al.
Published: (2025)
FLARE: Toward Universal Dataset Purification against Backdoor Attacks
by: Hou, Linshan, et al.
Published: (2024)
by: Hou, Linshan, et al.
Published: (2024)
Backdooring Outlier Detection Methods: A Novel Attack Approach
by: Taghavi, ZeinabSadat, et al.
Published: (2024)
by: Taghavi, ZeinabSadat, et al.
Published: (2024)
Undermining Image and Text Classification Algorithms Using Adversarial Attacks
by: Lunga, Langalibalele, et al.
Published: (2024)
by: Lunga, Langalibalele, et al.
Published: (2024)
Towards Black-Box Membership Inference Attack for Diffusion Models
by: Li, Jingwei, et al.
Published: (2024)
by: Li, Jingwei, et al.
Published: (2024)
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
by: Xu, Nuo, et al.
Published: (2022)
by: Xu, Nuo, et al.
Published: (2022)
Similar Items
-
Sy-FAR: Symmetry-based Fair Adversarial Robustness
by: Najjar, Haneen, et al.
Published: (2025) -
AR-GAN: Generative Adversarial Network-Based Defense Method Against Adversarial Attacks on the Traffic Sign Classification System of Autonomous Vehicles
by: Salek, M Sabbir, et al.
Published: (2023) -
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023) -
Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024) -
Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
by: D'Urso, Brianna, et al.
Published: (2026)