Robotic and Generative Adversarial Attacks in Offline Writer-independent Signature Verification

04/14/2022
by   Jordan J. Bird, et al.
0

This study explores how robots and generative approaches can be used to mount successful false-acceptance adversarial attacks on signature verification systems. Initially, a convolutional neural network topology and data augmentation strategy are explored and tuned, producing an 87.12 model for the verification of 2,640 human signatures. Two robots are then tasked with forging 50 signatures, where 25 are used for the verification attack, and the remaining 25 are used for tuning of the model to defend against them. Adversarial attacks on the system show that there exists an information security risk; the Line-us robotic arm can fool the system 24 the iDraw 2.0 robot 32 with around 30 transfer learning of robotic and generative data, adversarial attacks are reduced below the model threshold by both robots and the GAN. It is observed that tuning the model reduces the risk of attack by robots to 8 that conditional generative adversarial attacks can be reduced to 4 images are presented and 5

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/20/2020

Headless Horseman: Adversarial Attacks on Transfer Learning Models

Transfer learning facilitates the training of task-specific classifiers ...
research
11/08/2019

Adversarial Attacks on GMM i-vector based Speaker Verification Systems

This work investigates the vulnerability of Gaussian Mix-ture Model (GMM...
research
03/03/2021

A Robust Adversarial Network-Based End-to-End Communications System With Strong Generalization Ability Against Adversarial Attacks

We propose a novel defensive mechanism based on a generative adversarial...
research
05/26/2019

Generalizable Adversarial Attacks Using Generative Models

Adversarial attacks on deep neural networks traditionally rely on a cons...
research
12/28/2020

Detecting Colluding Sybil Attackers in Robotic Networks using Backscatters

Due to the openness of wireless medium, robotic networks that consist of...
research
08/17/2023

A White-Box False Positive Adversarial Attack Method on Contrastive Loss-Based Offline Handwritten Signature Verification Models

In this paper, we tackle the challenge of white-box false positive adver...
research
08/14/2022

GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing

The security of passwords depends on a thorough understanding of the str...

Please sign up or login with your details

Forgot password? Click here to reset