Attacks and Countermeasures on Privacy-Preserving Biometric Authentication Schemes

Wu, Yongdong; Weng, Jian; Wang, Zhengxia; Wei, Kaimin; Wen, Jinming; Lai, Junzuo; Li, Xin

doi:10.1109/tdsc.2022.3162623

Cited by 13 publications

(1 citation statement)

References 39 publications

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“…3. Authentication Challenges: Deepfake technology raises concerns about the reliability of authentication methods that rely on biometric data [85] like facial recognition [86], [87]. An attacker could use a deepfake to gain unauthorized access to secure systems or accounts by mimicking the targeted individual's biometric data.…”

Section: A User Perspectivementioning

confidence: 99%

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Golda,

Mekonen,

Pandey

et al. 2024

IEEE Access

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Generative Artificial Intelligence (GAI) has sparked a transformative wave across various domains, including machine learning, healthcare, business, and entertainment, owing to its remarkable ability to generate lifelike data. This comprehensive survey offers a meticulous examination of the privacy and security challenges inherent to GAI. It provides five pivotal perspectives essential for a comprehensive understanding of these intricacies. The paper encompasses discussions on GAI architectures, diverse generative model types, practical applications, and recent advancements within the field. In addition, it highlights current security strategies and proposes sustainable solutions, emphasizing user, developer, institutional, and policymaker involvement.

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Section: A User Perspectivementioning

confidence: 99%

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Golda,

Mekonen,

Pandey

et al. 2024

IEEE Access

View full text Add to dashboard Cite

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Multi‐Dimensional Meta‐Holography Encrypted by Orbital Angular Momentum, Frequency, and Polarization

Zhu,

Wei,

Dong

et al. 2024

Laser & Photonics Reviews

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Metasurface holographic encryption, as an emerging and highly promising technique, presents the advantages of multi‐dimension and high security and consequently provides a flexible and convenient platform for information encryption. Recent years have witnessed rapid progress in meta‐holographic encryption through the utilization of different dimensions of electromagnetic (EM) waves, yet enhancing the capacity and security of encrypted information remains an endless goal. In this context, the concept of three physical dimensions encrypted metasurface holography is proposed in which orbital angular momentum (OAM) is fully synergized with frequency and polarization state. The mechanism relies on the simultaneous control of these dimensions and arbitrarily overlaying them in each operation channel, thereby acting as a multi‐dimensional key to realize information encryption and decryption. As a proof‐of‐concept experiment, a three‐physical dimension encrypted meta‐hologram is designed that conceals four real images as encrypted information in 32 information channels. Remarkably, a specific OAM order, frequency, and polarization state is required to decrypt the designed meta‐hologram. This work opens a new avenue for multi‐dimensional encrypted holography, which has broad application prospects for information security and data storage in the era of big data.

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Blind Dual Image Watermarking for Copyright Protection, Tamper Proofing and Self-Recovery

Fan¹

2023

Multimed Tools Appl

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Attacks and Countermeasures on Privacy-Preserving Biometric Authentication Schemes

Cited by 13 publications

References 39 publications

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Privacy and Security Concerns in Generative AI: A Comprehensive Survey

Multi‐Dimensional Meta‐Holography Encrypted by Orbital Angular Momentum, Frequency, and Polarization

Blind Dual Image Watermarking for Copyright Protection, Tamper Proofing and Self-Recovery

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