Zobrazeno 1 - 10
of 1 665
pro vyhledávání: '"Anti-spoofing"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-11 (2024)
Abstract Synthesis artifacts that span scales from small to large are important cues for spoofing detection. However, few spoofing detection models leverage artifacts across different scales together. In this paper, we propose a spoofing detection sy
Externí odkaz:
https://doaj.org/article/ea21ed20a568450594125710d075de29
Autor:
YUAN Weilin, ZHAO Weiwei, HU Zhenzhen, CAO Wei, HE Jun, DONG Shaojin, WANG Chengyuan, WANG Shengqing
Publikováno v:
智能科学与技术学报, Vol 6, Pp 284-300 (2024)
In the digital society of "open sharing of information and interconnection of everything", the information traces characterized with "massive, multi-source and explosive growth" in the internet provide rich "mineral deposits" for open-source intellig
Externí odkaz:
https://doaj.org/article/d3ccb739453e4edab8668be8db91e67e
Autor:
Padmashree G., Karunakar A. K.
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
Deep learning models have surpassed classic machine learning models in face anti-spoofing detection during the last decade. Most face-spoofing detection algorithms are biased toward a single presentation attack, failing to robustly detect multiple sp
Externí odkaz:
https://doaj.org/article/c545f03eee3048fcadc4ab7a37f3292a
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
The threat of spoofing interference has posed a severe challenge to the security application of Global Navigation Satellite System (GNSS). It is particularly urgent and critical to carry out in-depth defense research on spoofing interference. When co
Externí odkaz:
https://doaj.org/article/68664b6685cd44d4aad685d19aaed913
Autor:
Jing Zhang, Quanhao Guo, Xiangzhou Wang, Ruqian Hao, Xiaohui Du, Siying Tao, Juanxiu Liu, Lin Liu
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 4817-4833 (2024)
Abstract The significance of facial anti-spoofing algorithms in enhancing the security of facial recognition systems cannot be overstated. Current approaches aim to compensate for the model’s shortcomings in capturing spatial information by leverag
Externí odkaz:
https://doaj.org/article/6b99234a9a07486cbcd85d065ea949b3
Autor:
Antil, Aashania, Dhiman, Chhavi ⁎
Publikováno v:
In Neurocomputing 7 February 2025 617
Autor:
Arman Keresh, Pakizar Shamoi
Publikováno v:
IEEE Access, Vol 12, Pp 185673-185685 (2024)
Face recognition systems are increasingly used in biometric security for convenience and effectiveness. However, they remain vulnerable to spoofing attacks, where attackers use photos, videos, or masks to impersonate legitimate users. This research a
Externí odkaz:
https://doaj.org/article/7bb2938d0410425fa53d3b5859ccf142
Publikováno v:
IEEE Access, Vol 12, Pp 183616-183657 (2024)
Introduction. Biometric verification for controlling access to digital devices has become ubiquitous for its ease-of-use but often relies on notoriously data-hungry supervised machine learning. Additionally, biometric data is privacy-sensitive, and a
Externí odkaz:
https://doaj.org/article/3e9ba75b287e47b7838f779bd28f9a66
Autor:
Yilong Zhang, Heyou Yu, Haohao Sun, Yongbo Yao, Haixia Wang, Jian Liu, Yuanjie Dang, Ronghua Liang, Peng Chen
Publikováno v:
IEEE Photonics Journal, Vol 16, Iss 6, Pp 1-9 (2024)
Optical coherence tomography (OCT) offers high-resolution imaging of internal finger structures, making it attractive for fingerprint recognition. Anti-spoofing research in OCT includes both static and liveness anti-spoofing. Liveness anti-spoofing i
Externí odkaz:
https://doaj.org/article/634bd6f22bbb4707a20105e27c0a2796
Publikováno v:
Sensors, Vol 24, Iss 23, p 7635 (2024)
Spoofing attacks (or Presentation Attacks) are easily accessible to facial recognition systems, making the online financial system vulnerable. Thus, it is urgent to develop an anti-spoofing solution with superior generalization ability due to the hig
Externí odkaz:
https://doaj.org/article/acffdcdacee549529a99bedffcb64f53