Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Social Proof00:52

Social Proof

24.9K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
24.9K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

2.1K
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
2.1K
Masking and Demasking Agents01:19

Masking and Demasking Agents

4.1K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
4.1K
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

376
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
376
Introducing Social Perception01:29

Introducing Social Perception

711
Perceiving others accurately is fundamental to effective communication and relationship-building. Social perception, a key concept in social psychology, refers to the cognitive processes through which individuals gather and interpret information about others to understand their actions, intentions, and motivations. This process extends beyond spoken words and overt behaviors, incorporating subtle nonverbal cues and contextual factors.Nonverbal Cues and Their SignificanceNonverbal cues play a...
711

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Benchmarking the Robustness of Autonomous Driving to Environmental Illusions: A Lane Perception Perspective.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

Holistic Invariant Retracing for Distortion-Resilient Multi-Modal Learning in Spatial Transcriptomics.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Demonstration of efficient predictive surrogates for large-scale quantum processors.

Nature communications·2026
Same author

A DeepSeek-powered AI system for automated chest radiograph interpretation in clinical practice.

Nature communications·2026
Same author

NoisePO: Efficient Semantic Noise Generation and Ranking for Diffusion-Based Text-to-Image Synthesis.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Is Fusion 360 Reconstruction Dataset Really Not Enough for Training When Compared With DeepCAD Dataset?

IEEE computer graphics and applications·2026

Related Experiment Video

Updated: May 1, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
07:34

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

Published on: June 3, 2013

17.3K

Hierarchical Perceptual Noise Injection for Social Media Fingerprint Privacy Protection.

Simin Li, Huangxinxin Xu, Jiakai Wang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 1, 2024
    PubMed
    Summary
    This summary is machine-generated.

    Protecting fingerprint data shared online is crucial. FingerSafe uses a novel hierarchical approach to add imperceptible noise, preventing fingerprint leakage from images while maintaining natural appearance.

    More Related Videos

    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography
    07:47

    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography

    Published on: February 12, 2017

    7.2K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.7K

    Related Experiment Videos

    Last Updated: May 1, 2026

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
    07:34

    Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

    Published on: June 3, 2013

    17.3K
    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography
    07:47

    Use of Sacrificial Nanoparticles to Remove the Effects of Shot-noise in Contact Holes Fabricated by E-beam Lithography

    Published on: February 12, 2017

    7.2K
    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography
    04:48

    Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

    Published on: November 30, 2022

    2.7K

    Area of Science:

    • Computer Vision
    • Biometrics
    • Cybersecurity

    Background:

    • Social media image sharing poses risks of biometric data theft, specifically fingerprints.
    • Fingerprints serve as unique, lifelong biometric identifiers, making their leakage a significant security concern.
    • Existing adversarial attacks for fingerprint anonymization suffer from poor transferability and unnatural image appearance.

    Purpose of the Study:

    • To develop a robust framework for anonymizing fingerprint images shared on social media.
    • To enhance the security of biometric data against leakage while preserving image visual quality.
    • To address the limitations of existing methods regarding black-box transferability and perceptual naturalness.

    Main Methods:

    • Proposed FingerSafe, a hierarchical perceptual protective noise injection framework.
    • Leveraged visual perception hierarchy by perturbing high-level semantics (fingerprint ridges) for black-box transferability.
    • Regularized Lateral Geniculate Nucleus response to suppress low-level local contrast stimuli for visual naturalness.

    Main Results:

    • FingerSafe achieved up to 94.12% protection in digital scenarios.
    • Demonstrated feasible protection in realistic social media platforms (Twitter, Facebook) with up to 68.75% effectiveness.
    • The framework successfully balances fingerprint protection with image naturalness.

    Conclusions:

    • FingerSafe offers a novel and effective solution for protecting fingerprint data from leakage in shared images.
    • The hierarchical approach addresses key challenges in adversarial attack transferability and perceptual quality.
    • This work presents a significant advancement in securing biometric information in the digital age.