[HTML][HTML] An autonomous decision-making framework for gait recognition systems against adversarial attack using reinforcement learning
Gait identification based on Deep Learning (DL) techniques has recently emerged as
biometric technology for surveillance. We leveraged the vulnerabilities and decision-making …
biometric technology for surveillance. We leveraged the vulnerabilities and decision-making …
Exploiting vulnerability of convolutional neural network-based gait recognition system
In today's era of advanced technologies, the concerns related to global security have led to
video surveillance gadgets. Human gait recognition as a biometric is considered an evolving …
video surveillance gadgets. Human gait recognition as a biometric is considered an evolving …
Adversarial vulnerability of deep neural network-based gait event detection: A comparative study using accelerometer-based data
J Tian - Biomedical Signal Processing and Control, 2022 - Elsevier
Gait event detection is a critical task in numerous healthcare applications to identify and
recognize a user's gait, such as based on accelerometer-based data. Many deep neural …
recognize a user's gait, such as based on accelerometer-based data. Many deep neural …
Temporal sparse adversarial attack on sequence-based gait recognition
Gait recognition is widely used in social security applications due to its advantages in long-
distance human identification. Recently, sequence-based methods have achieved high …
distance human identification. Recently, sequence-based methods have achieved high …
Gait recognition based on deep learning: a survey
CFG Santos, DDS Oliveira, LA Passos… - arXiv preprint arXiv …, 2022 - arxiv.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Gait recognition based on deep learning: a survey
C Filipi Gonçalves dos Santos, DS Oliveira… - ACM Computing …, 2022 - dl.acm.org
In general, biometry-based control systems may not rely on individual expected behavior or
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
cooperation to operate appropriately. Instead, such systems should be aware of malicious …
Attacking gait recognition systems via silhouette guided GANs
This paper investigates a new attack method to gait recognition systems. Different from
typical spoofing attacks that require impostors to mimic certain clothing or walking styles, it …
typical spoofing attacks that require impostors to mimic certain clothing or walking styles, it …
Adversarial gait detection on mobile devices using recurrent neural networks
This paper presents an implicit and continuous user verification service, called dCASTRA,
for mobile devices based on walking patterns inferred from smart phone sensors. We use …
for mobile devices based on walking patterns inferred from smart phone sensors. We use …
A smart surveillance system for uncooperative gait recognition using cycle consistent generative adversarial networks (CCGANs)
WA Alsaggaf, I Mehmood, EF Khairullah… - Computational …, 2021 - Wiley Online Library
Surveillance remains an important research area, and it has many applications. Smart
surveillance requires a high level of accuracy even when persons are uncooperative. Gait …
surveillance requires a high level of accuracy even when persons are uncooperative. Gait …
Safegait: Safeguarding gait-based key generation against vision-based side channel attack using generative adversarial network
Recent works have shown that wearable or implanted devices attached at different locations
of the body can generate an identical security key from their independent measurements of …
of the body can generate an identical security key from their independent measurements of …