Threats to Arabic Handwriting Recognition: Investigating Black-Box Adversarial Attacks on embedded ConvNet models
Fuente:
arXiv
Guardado en:
| Autores principales: | Khayati, Mohsine EL, Semma, Abdelillah, Courr, Abdelaziz, Elouahbi, Rachid |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Embedded ConvNet Ensembles: A Lightweight Approach to Recognize Arabic Handwritten Characters
por: Khayati, Mohsine El, et al.
Publicado: (2026)
por: Khayati, Mohsine El, et al.
Publicado: (2026)
Designing Concise ConvNets with Columnar Stages
por: Kumar, Ashish, et al.
Publicado: (2024)
por: Kumar, Ashish, et al.
Publicado: (2024)
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition
por: Khayati, Mohsine El, et al.
Publicado: (2025)
por: Khayati, Mohsine El, et al.
Publicado: (2025)
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
por: Kumar, Ashish, et al.
Publicado: (2024)
por: Kumar, Ashish, et al.
Publicado: (2024)
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
por: Chen, Hao, et al.
Publicado: (2022)
por: Chen, Hao, et al.
Publicado: (2022)
Learning to Generate Parameters of ConvNets for Unseen Image Data
por: Wang, Shiye, et al.
Publicado: (2023)
por: Wang, Shiye, et al.
Publicado: (2023)
VideoMAC: Video Masked Autoencoders Meet ConvNets
por: Pei, Gensheng, et al.
Publicado: (2024)
por: Pei, Gensheng, et al.
Publicado: (2024)
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
por: Chen, Honghao, et al.
Publicado: (2024)
por: Chen, Honghao, et al.
Publicado: (2024)
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation
por: Chen, Xinghao, et al.
Publicado: (2023)
por: Chen, Xinghao, et al.
Publicado: (2023)
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
por: Ai, Yuang, et al.
Publicado: (2025)
por: Ai, Yuang, et al.
Publicado: (2025)
UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale
por: Wang, Yuhao, et al.
Publicado: (2025)
por: Wang, Yuhao, et al.
Publicado: (2025)
iFormer: Integrating ConvNet and Transformer for Mobile Application
por: Zheng, Chuanyang
Publicado: (2025)
por: Zheng, Chuanyang
Publicado: (2025)
MixMask: Revisiting Masking Strategy for Siamese ConvNets
por: Vishniakov, Kirill, et al.
Publicado: (2022)
por: Vishniakov, Kirill, et al.
Publicado: (2022)
PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution
por: Chen, Honghao, et al.
Publicado: (2024)
por: Chen, Honghao, et al.
Publicado: (2024)
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
por: Xiong, Yuwen, et al.
Publicado: (2024)
por: Xiong, Yuwen, et al.
Publicado: (2024)
Universal Neural Architecture Space: Covering ConvNets, Transformers and Everything in Between
por: Týbl, Ondřej, et al.
Publicado: (2025)
por: Týbl, Ondřej, et al.
Publicado: (2025)
Infrared Object Detection with Ultra Small ConvNets: Is ImageNet Pretraining Still Useful?
por: Muralidharan, Srikanth, et al.
Publicado: (2025)
por: Muralidharan, Srikanth, et al.
Publicado: (2025)
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
por: Vishniakov, Kirill, et al.
Publicado: (2023)
por: Vishniakov, Kirill, et al.
Publicado: (2023)
WaveDH: Wavelet Sub-bands Guided ConvNet for Efficient Image Dehazing
por: Hwang, Seongmin, et al.
Publicado: (2024)
por: Hwang, Seongmin, et al.
Publicado: (2024)
MobileIE: An Extremely Lightweight and Effective ConvNet for Real-Time Image Enhancement on Mobile Devices
por: Yan, Hailong, et al.
Publicado: (2025)
por: Yan, Hailong, et al.
Publicado: (2025)
PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference
por: Mahmud, Tanvir, et al.
Publicado: (2024)
por: Mahmud, Tanvir, et al.
Publicado: (2024)
Human-annotated label noise and their impact on ConvNets for remote sensing image scene classification
por: Peng, Longkang, et al.
Publicado: (2023)
por: Peng, Longkang, et al.
Publicado: (2023)
ConvNets for Counting: Object Detection of Transient Phenomena in Steelpan Drums
por: Hawley, Scott H., et al.
Publicado: (2021)
por: Hawley, Scott H., et al.
Publicado: (2021)
OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels
por: Lou, Meng, et al.
Publicado: (2025)
por: Lou, Meng, et al.
Publicado: (2025)
Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder
por: Islam, Md. Farhadul, et al.
Publicado: (2024)
por: Islam, Md. Farhadul, et al.
Publicado: (2024)
MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation
por: Roy, Saikat, et al.
Publicado: (2023)
por: Roy, Saikat, et al.
Publicado: (2023)
U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training
por: Liu, Zhuoyan, et al.
Publicado: (2024)
por: Liu, Zhuoyan, et al.
Publicado: (2024)
BCFPL: Binary classification ConvNet based Fast Parking space recognition with Low resolution image
por: Zhang, Shuo, et al.
Publicado: (2024)
por: Zhang, Shuo, et al.
Publicado: (2024)
RepVGG-GELAN: Enhanced GELAN with VGG-STYLE ConvNets for Brain Tumour Detection
por: Balakrishnan, Thennarasi, et al.
Publicado: (2024)
por: Balakrishnan, Thennarasi, et al.
Publicado: (2024)
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where
por: Chin, Zhi-Yi, et al.
Publicado: (2023)
por: Chin, Zhi-Yi, et al.
Publicado: (2023)
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
por: Zhang, Yiyuan, et al.
Publicado: (2024)
por: Zhang, Yiyuan, et al.
Publicado: (2024)
Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere
por: Yue, Yubiao, et al.
Publicado: (2023)
por: Yue, Yubiao, et al.
Publicado: (2023)
3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image Classification
por: Jing, Haizhao, et al.
Publicado: (2024)
por: Jing, Haizhao, et al.
Publicado: (2024)
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning
por: Islam, Md. Rabiul, et al.
Publicado: (2023)
por: Islam, Md. Rabiul, et al.
Publicado: (2023)
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
por: Ding, Xiaohan, et al.
Publicado: (2023)
por: Ding, Xiaohan, et al.
Publicado: (2023)
Qalam : A Multimodal LLM for Arabic Optical Character and Handwriting Recognition
por: Bhatia, Gagan, et al.
Publicado: (2024)
por: Bhatia, Gagan, et al.
Publicado: (2024)
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
por: Cao, Yuxin, et al.
Publicado: (2024)
por: Cao, Yuxin, et al.
Publicado: (2024)
Transferable Adversarial Attacks on Black-Box Vision-Language Models
por: Hu, Kai, et al.
Publicado: (2025)
por: Hu, Kai, et al.
Publicado: (2025)
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
por: Wang, Lu, et al.
Publicado: (2025)
por: Wang, Lu, et al.
Publicado: (2025)
Data-free Defense of Black Box Models Against Adversarial Attacks
por: Nayak, Gaurav Kumar, et al.
Publicado: (2022)
por: Nayak, Gaurav Kumar, et al.
Publicado: (2022)
Ejemplares similares
-
Embedded ConvNet Ensembles: A Lightweight Approach to Recognize Arabic Handwritten Characters
por: Khayati, Mohsine El, et al.
Publicado: (2026) -
Designing Concise ConvNets with Columnar Stages
por: Kumar, Ashish, et al.
Publicado: (2024) -
Leveraging Transfer Learning and Mobile-enabled Convolutional Neural Networks for Improved Arabic Handwritten Character Recognition
por: Khayati, Mohsine El, et al.
Publicado: (2025) -
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
por: Kumar, Ashish, et al.
Publicado: (2024) -
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets
por: Chen, Hao, et al.
Publicado: (2022)