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

Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.1K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Repeatability of corneal diameter measured by Sirius versus IOLMaster 700 in myopic eyes: combined with consistency and relationship of sulcus-to-sulcus.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie·2026
Same author

Refining feature representation for accurate fundus lesion segmentation.

Medical physics·2026
Same author

A multifunctional organic additive with diversified elements (F, S, P, and N) for high-performance PEO/LiTFSI electrolytes.

Materials horizons·2026
Same author

Unleashing the Power of Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation.

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

Replicon-based genome-wide CRISPR knockout screening for the identification of host factors involved in viral replication.

Nature communications·2025
Same author

Clinical efficacy of an improved orbicularis oculi muscle plication surgery for senile involutional lower eyelid entropion.

International ophthalmology·2025

Related Experiment Video

Updated: May 24, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

475

Unified Prompt Attack Against Text-to-Image Generation Models.

Duo Peng, Qiuhong Ke, Mark He Huang

    IEEE Transactions on Pattern Analysis and Machine Intelligence
    |March 3, 2025
    PubMed
    Summary

    We developed UPAM, a new framework to test Text-to-Image (T2I) model security against harmful content generation. UPAM effectively bypasses defenses using novel learning techniques for robust T2I model evaluation.

    More Related Videos

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    348
    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    1.7K

    Related Experiment Videos

    Last Updated: May 24, 2025

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
    03:14

    Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

    Published on: December 6, 2024

    475
    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
    04:48

    Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique

    Published on: July 5, 2024

    348
    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
    04:23

    A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images

    Published on: April 21, 2023

    1.7K

    Area of Science:

    • Artificial Intelligence
    • Computer Vision
    • Cybersecurity

    Background:

    • Text-to-Image (T2I) models present security risks due to potential harmful content generation.
    • Existing defenses often focus narrowly on textual aspects, leaving vulnerabilities.
    • Evaluating T2I model robustness against sophisticated attacks is crucial.

    Purpose of the Study:

    • To propose UPAM, a unified framework for evaluating T2I model robustness from an attack perspective.
    • To develop methods for bypassing both textual and visual defenses in T2I models.
    • To enhance the effectiveness, efficiency, and stealth of adversarial attacks on T2I systems.

    Main Methods:

    • UPAM unifies attacks on textual and visual defenses, utilizing gradient-based optimization.
    • Sphere-Probing Learning (SPL) enables optimization even when image outputs are blocked.
    • Semantic-Enhancing Learning (SEL) and In-context Naturalness Enhancement (INE) ensure semantic control and prompt naturalness.
    • Transferable Attack Learning (TAL) facilitates effective attacks with minimal queries.

    Main Results:

    • UPAM demonstrates superior effectiveness in bypassing T2I model defenses to generate harmful content.
    • The framework achieves high efficiency and naturalness in adversarial prompts.
    • Attacks generated using UPAM exhibit low detection rates due to minimal queries.
    • Extensive experiments validate the framework's superiority over prior methods.

    Conclusions:

    • UPAM provides a robust and comprehensive approach to evaluating T2I model security.
    • The proposed methods significantly advance the ability to identify and mitigate vulnerabilities in T2I systems.
    • UPAM is essential for ensuring the safe deployment of increasingly powerful T2I technologies.