Cover Image

GAFSV-Net: A Vision Framework for Online Signature Verification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Singhal, Himanshu, Sundaram, Suresh
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

1-D CNN-Based Online Signature Verification with Federated Learning
by: Zhang, Lingfeng, et al.
Published: (2024)

A White-Box False Positive Adversarial Attack Method on Contrastive Loss Based Offline Handwritten Signature Verification Models
by: Guo, Zhongliang, et al.
Published: (2023)

A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
by: Wang, Huan-Chih, et al.
Published: (2024)

DCT-CryptoNets: Scaling Private Inference in the Frequency Domain
by: Roy, Arjun, et al.
Published: (2024)

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches
by: Pintor, Maura, et al.
Published: (2022)

Accelerating Malware Classification: A Vision Transformer Solution
by: Bavishi, Shrey, et al.
Published: (2024)

Privacy-Aware Federated nnU-Net for ECG Page Digitization
by: Nemati, Nader
Published: (2025)

Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference
by: Yuan, Man-Jie, et al.
Published: (2024)

RoboSignature: Robust Signature and Watermarking on Network Attacks
by: Shaan, Aryaman, et al.
Published: (2024)

Bi-LORA: A Vision-Language Approach for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)

Privacy Preserving Properties of Vision Classifiers
by: Suhail, Pirzada, et al.
Published: (2025)

Your Text Encoder Can Be An Object-Level Watermarking Controller
by: Devulapally, Naresh Kumar, et al.
Published: (2025)

Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
by: Ke, Zong, et al.
Published: (2025)

Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers
by: Yang, Sheng, et al.
Published: (2024)

A Quality-Centric Framework for Generic Deepfake Detection
by: Song, Wentang, et al.
Published: (2024)

VERA-V: Variational Inference Framework for Jailbreaking Vision-Language Models
by: Liao, Qilin, et al.
Published: (2025)

Evaluating Precise Geolocation Inference Capabilities of Vision Language Models
by: Jay, Neel, et al.
Published: (2025)

QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
by: Baras, Amit, et al.
Published: (2023)

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
by: Ying, Chengyang, et al.
Published: (2022)

Smart Railway Obstruction Detection System using IoT and Computer Vision
by: Kumar, Pravin, et al.
Published: (2026)

Harnessing the Power of Large Vision Language Models for Synthetic Image Detection
by: Keita, Mamadou, et al.
Published: (2024)

Vision-LLMs Can Fool Themselves with Self-Generated Typographic Attacks
by: Qraitem, Maan, et al.
Published: (2024)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
by: Yehezkel, Oryan, et al.
Published: (2024)

The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
by: Müller, Andreas, et al.
Published: (2024)

VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
by: Chou, Sheng-Yen, et al.
Published: (2023)

AMCR: A Framework for Assessing and Mitigating Copyright Risks in Generative Models
by: Yin, Zhipeng, et al.
Published: (2025)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models
by: Guan, Zihan, et al.
Published: (2024)

ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs
by: Yang, Yuchen, et al.
Published: (2024)

Goal-oriented Backdoor Attack against Vision-Language-Action Models via Physical Objects
by: Zhou, Zirun, et al.
Published: (2025)

R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
by: Sheng, Lijun, et al.
Published: (2025)

RPP: A Certified Poisoned-Sample Detection Framework for Backdoor Attacks under Dataset Imbalance
by: Lin, Miao, et al.
Published: (2026)

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
by: Jacob, Dennis, et al.
Published: (2025)

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models
by: Darabi, Nastaran, et al.
Published: (2025)

LSP Framework: A Compensatory Model for Defeating Trigger Reverse Engineering via Label Smoothing Poisoning
by: Li, Beichen, et al.
Published: (2024)

RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
by: Xian, Xun, et al.
Published: (2024)

CipherFace: A Fully Homomorphic Encryption-Driven Framework for Secure Cloud-Based Facial Recognition
by: Serengil, Sefik, et al.
Published: (2025)

AGNES: Abstraction-guided Framework for Deep Neural Networks Security
by: Dhonthi, Akshay, et al.
Published: (2023)

SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework
by: Le, Binh M., et al.
Published: (2024)

$S^2$NeRF: Privacy-preserving Training Framework for NeRF
by: Zhang, Bokang, et al.
Published: (2024)

Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
by: Zhao, Pu, et al.
Published: (2019)