PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
Fuente:
arXiv
Saved in:
| Main Authors: | Chattopadhyay, Nandish, Basit, Abdul, Guesmi, Amira, Hanif, Muhammad Abdullah, Ouni, Bassem, Shafique, Muhammad |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
by: Chattopadhyay, Nandish, et al.
Published: (2023)
by: Chattopadhyay, Nandish, et al.
Published: (2023)
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2024)
by: Guesmi, Amira, et al.
Published: (2024)
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)
by: Chattopadhyay, Nandish, et al.
Published: (2024)
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
by: Chattopadhyay, Nandish, et al.
Published: (2025)
by: Chattopadhyay, Nandish, et al.
Published: (2025)
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
by: Guesmi, Amira, et al.
Published: (2024)
by: Guesmi, Amira, et al.
Published: (2024)
TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
by: Guesmi, Amira, et al.
Published: (2023)
by: Guesmi, Amira, et al.
Published: (2023)
Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models
by: Guesmi, Amira, et al.
Published: (2026)
by: Guesmi, Amira, et al.
Published: (2026)
DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
by: Guesmi, Amira, et al.
Published: (2025)
by: Guesmi, Amira, et al.
Published: (2025)
AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)
by: Guesmi, Amira, et al.
Published: (2023)
Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach
by: Guesmi, Amira, et al.
Published: (2024)
by: Guesmi, Amira, et al.
Published: (2024)
MedAide: Leveraging Large Language Models for On-Premise Medical Assistance on Edge Devices
by: Basit, Abdul, et al.
Published: (2024)
by: Basit, Abdul, et al.
Published: (2024)
ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems
by: Shahzad, Muhammad Zaeem, et al.
Published: (2025)
by: Shahzad, Muhammad Zaeem, et al.
Published: (2025)
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
by: Guesmi, Amira, et al.
Published: (2024)
by: Guesmi, Amira, et al.
Published: (2024)
Examining Changes in Internal Representations of Continual Learning Models Through Tensor Decomposition
by: Aswani, Nishant Suresh, et al.
Published: (2024)
by: Aswani, Nishant Suresh, et al.
Published: (2024)
STRAP-ViT: Segregated Tokens with Randomized -- Transformations for Defense against Adversarial Patches in ViTs
by: Chattopadhyay, Nandish, et al.
Published: (2026)
by: Chattopadhyay, Nandish, et al.
Published: (2026)
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
by: Puah, Yi Hao, et al.
Published: (2024)
by: Puah, Yi Hao, et al.
Published: (2024)
Cybersecurity of High-Altitude Platform Stations: Threat Taxonomy, Attacks and Defenses with Standards Mapping - DDoS Attack Use Case
by: Hjaiji, Chaouki, et al.
Published: (2025)
by: Hjaiji, Chaouki, et al.
Published: (2025)
Rethinking Evaluation of Multiple Sclerosis (MS) Lesion Segmentation Models
by: Basit, Abdul, et al.
Published: (2026)
by: Basit, Abdul, et al.
Published: (2026)
MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs
by: Chen, Boyuan, et al.
Published: (2025)
by: Chen, Boyuan, et al.
Published: (2025)
PatchCURE: Improving Certifiable Robustness, Model Utility, and Computation Efficiency of Adversarial Patch Defenses
by: Xiang, Chong, et al.
Published: (2023)
by: Xiang, Chong, et al.
Published: (2023)
VulnScout-C: A Lightweight Transformer for C Code Vulnerability Detection
by: Lassoued, Aymen, et al.
Published: (2026)
by: Lassoued, Aymen, et al.
Published: (2026)
AutoPatch: Automated Generation of Hotpatches for Real-Time Embedded Devices
by: Salehi, Mohsen, et al.
Published: (2024)
by: Salehi, Mohsen, et al.
Published: (2024)
Learning Nonlinearity of Boolean Functions: An Experimentation with Neural Networks
by: Ranga, Sriram, et al.
Published: (2025)
by: Ranga, Sriram, et al.
Published: (2025)
PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
by: Jacob, Dennis, et al.
Published: (2025)
by: Jacob, Dennis, et al.
Published: (2025)
DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023)
by: Kang, Caixin, et al.
Published: (2023)
Breaking Precision Time: OS Vulnerability Exploits Against IEEE 1588
by: Soomro, Muhammad Abdullah, et al.
Published: (2025)
by: Soomro, Muhammad Abdullah, et al.
Published: (2025)
Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks
by: Xiong, Chen, et al.
Published: (2024)
by: Xiong, Chen, et al.
Published: (2024)
Scale-Gest: Scalable Model-Space Synthesis and Runtime Selection for On-Device Gesture Detection
by: Basit, Abdul, et al.
Published: (2026)
by: Basit, Abdul, et al.
Published: (2026)
SwitchPatch: Physical Adversarial Attack Strategy with Switchable Adversarial Objectives
by: Jiang, Hanrui, et al.
Published: (2025)
by: Jiang, Hanrui, et al.
Published: (2025)
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)
Can LLMs Patch Security Issues?
by: Alrashedy, Kamel, et al.
Published: (2023)
by: Alrashedy, Kamel, et al.
Published: (2023)
SPAQ-DL-SLAM: Towards Optimizing Deep Learning-based SLAM for Resource-Constrained Embedded Platforms
by: Pudasaini, Niraj, et al.
Published: (2024)
by: Pudasaini, Niraj, et al.
Published: (2024)
Blockchain-Enabled Device-Enhanced Multi-Access Edge Computing in Open Adversarial Environments
by: Islam, Muhammad, et al.
Published: (2024)
by: Islam, Muhammad, et al.
Published: (2024)
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
by: Zheng, Junhao, et al.
Published: (2025)
by: Zheng, Junhao, et al.
Published: (2025)
TRAP: Hijacking VLA CoT-Reasoning via Adversarial Patches
by: Huang, Zhengxian, et al.
Published: (2026)
by: Huang, Zhengxian, et al.
Published: (2026)
Persistence of Backdoor-based Watermarks for Neural Networks: A Comprehensive Evaluation
by: Ngo, Anh Tu, et al.
Published: (2025)
by: Ngo, Anh Tu, et al.
Published: (2025)
Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs
by: Sekar, Anirudh, et al.
Published: (2026)
by: Sekar, Anirudh, et al.
Published: (2026)
Similar Items
-
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
by: Chattopadhyay, Nandish, et al.
Published: (2023) -
Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2024) -
Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024) -
TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2025) -
Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
by: Guesmi, Amira, et al.
Published: (2025)