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

Coping Strategies: Emotion Focused01:20

Coping Strategies: Emotion Focused

165
Emotion-focused coping refers to a set of strategies aimed at managing the emotional impact of stressors, rather than directly addressing their causes. This approach involves altering one's emotional response to stressful situations to reduce their psychological effects. For example, individuals might talk with a friend or engage in activities like journaling to express their feelings. Such actions can help achieve emotional clarity or release, providing the psychological stability needed...
165
Empathy02:34

Empathy

9.7K
Some researchers suggest that altruism operates on empathy. Empathy is the capacity to understand another person’s perspective, to feel what he or she feels. An empathetic person makes an emotional connection with others and feels compelled to help (Batson, 1991). Empathy can be expressed in several ways, including cognitive, affective, and motor. 
9.7K
Protecting Self-Esteem01:27

Protecting Self-Esteem

5
Self-esteem, a central component of psychological well-being, is actively maintained through various cognitive and behavioral strategies. Individuals employ specific mechanisms to preserve a positive self-concept and mitigate threats to their self-worth, particularly in contexts involving social evaluation or personal feedback. Four primary techniques are commonly used to sustain self-esteem.Manipulating AppraisalsOne prominent strategy involves manipulating appraisals from others. Individuals...
5
Censoring Survival Data01:09

Censoring Survival Data

270
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
270
Emotional Expression01:26

Emotional Expression

457
Emotional expression encompasses how individuals convey their emotions through verbal communication and non-verbal cues. These non-verbal actions include facial expressions, body language, and physical gestures, such as frowning or smiling. Among these, facial expressions play a crucial role in emotional expression and are understood universally, indicating a biological basis for how humans communicate emotions.
Universal Facial Expressions
Psychologist Paul Ekman identified seven basic...
457
Ethics in Research01:56

Ethics in Research

24.7K
Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
24.7K

You might also read

Related Articles

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

Sort by
Same author

Enhancing Mouth-Based Emotion Recognition Using Transfer Learning.

Sensors (Basel, Switzerland)·2020
See all related articles

Related Experiment Video

Updated: Oct 3, 2025

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
07:21

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

Published on: June 29, 2016

39.5K

Lie to Me: Shield Your Emotions from Prying Software.

Alina Elena Baia1, Giulio Biondi2, Valentina Franzoni2,3

  • 1Department of Mathematics and Computer Science, University of Florence, Viale Morgagni 67/a, 50134 Florence, Italy.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces Emotion Adversarial Attacks (EAAs) using image filters to protect user privacy against facial emotion recognition systems. The method successfully fools emotion classifiers while maintaining image quality for human perception.

Keywords:
adversarial machine learningemotion recognitionevolutionary algorithmprivacy protection

More Related Videos

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood
08:09

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood

Published on: February 11, 2017

11.6K
Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
16:08

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

16.3K

Related Experiment Videos

Last Updated: Oct 3, 2025

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content
07:21

The Emotional Stroop Task: Assessing Cognitive Performance under Exposure to Emotional Content

Published on: June 29, 2016

39.5K
Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood
08:09

Psychophysiological Assessment of the Effectiveness of Emotion Regulation Strategies in Childhood

Published on: February 11, 2017

11.6K
Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition
16:08

Brain Imaging Investigation of the Impairing Effect of Emotion on Cognition

Published on: February 1, 2012

16.3K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Machine Learning

Background:

  • Deep learning models achieve high accuracy in facial Emotion Recognition (ER).
  • Facial emotion tracking poses risks to user privacy and can be used for manipulation.
  • Deep learning models are vulnerable to adversarial examples.

Purpose of the Study:

  • To develop a privacy-preserving technique against facial ER systems.
  • To introduce Emotion Adversarial Attacks (EAAs) to disrupt ER classifiers.
  • To maintain image quality for human perception while protecting privacy.

Main Methods:

  • Generating EAAs by applying image filters (e.g., Instagram filters).
  • Utilizing a multi-objective evolutionary algorithm to optimize filter combinations for attacks.
  • Testing the technique on the AffectNet dataset.

Main Results:

  • The proposed approach successfully attacks emotion classifiers, achieving over 90% Attack Success Rate.
  • Image quality is preserved from a human perception standpoint.
  • EAAs effectively protect user privacy against ER systems.

Conclusions:

  • EAAs offer a viable method for enhancing privacy in the face of advanced facial ER.
  • The technique demonstrates the potential of adversarial attacks for privacy preservation.
  • Further research can explore diverse filter applications and attack strategies.