Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

57.8K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
57.8K
Genetic Drift03:33

Genetic Drift

39.2K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
39.2K
Long-term Potentiation01:35

Long-term Potentiation

54.6K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
54.6K
¹H NMR of Labile Protons: Deuterium (²H) Substitution00:48

¹H NMR of Labile Protons: Deuterium (²H) Substitution

864
This lesson illustrates the role of deuterium substitution in simplifying the NMR spectrum of compounds comprising labile protons. One method employed is the use of deuterium. Amongst the three isotopes of hydrogen, deuterium (2H) has a nucleus composed of one proton and one neutron. When the D2O solvent is added to a pure dry ethanol solution, its labile proton is substituted with deuterium.
864

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

FedCAD: Cross-modal semantic alignment and distillation for cross-domain heterogeneous federated learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Global and Local Visual-Textual Alignment for Open Vocabulary Object Detection.

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

Language Supervised Multi-Camera Multi-Object Tracking.

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

A Cross-Modal Network for Facial Expression Recognition.

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

Vision-Language Collaborative Representation Learning for Action Quality Assessment.

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

Exploration of network-based, machine learning, MD simulations, and MM/GBSA approaches revealed luteolin from Gynura procumbens as key inhibitor of MMP9 in NSCLC.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same journal

Granular Ball-Based Noise-Resistant Fuzzy Multineighborhood Feature Selection via Label Enhancement and Feature Graph.

IEEE transactions on neural networks and learning systems·2026
Same journal

Fighting Evolving Spam With ARTMAP Models: A Noise-Resilient Online Detection Framework.

IEEE transactions on neural networks and learning systems·2026
Same journal

HyperSAT: Unsupervised Hypergraph Neural Networks for Weighted MaxSAT Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

Negation of Basic Belief Assignment in Multisource Information Fusion on Dempster-Shafer Theory With Applications in Pattern Classification.

IEEE transactions on neural networks and learning systems·2026
Same journal

Intervention Feasible Region and Driver Risk Capacity Aware Human-Machine Collaborative Safe Trajectory Planning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Unified Differential Denoising Learning Framework With a Pre-Trained Model and Fuzzy Graph Networks for Drug-Drug Interaction Prediction.

IEEE transactions on neural networks and learning systems·2026
查看所有相关文章

相关实验视频

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

基于稳定扩散的潜在代码增强,用于无数据替代攻击.

Mingwen Shao, Lingzhuang Meng, Yuanjian Qiao

    IEEE transactions on neural networks and learning systems
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    本研究引入了无数据替代攻击的隐藏代码增强 (LCA),提高了扩散模型 (DM) 的效率和准确性. LCA 增强了替代模型训练,实现了比生成对抗网络 (GAN) 更高的攻击成功率.

    更多相关视频

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
    04:17

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

    Published on: May 10, 2024

    607
    A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
    07:34

    A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

    Published on: March 25, 2014

    9.8K

    相关实验视频

    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
    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
    04:17

    DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

    Published on: May 10, 2024

    607
    A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
    07:34

    A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

    Published on: March 25, 2014

    9.8K

    科学领域:

    • 机器学习 机器学习
    • 人工智能的人工智能
    • 网络安全 网络安全

    背景情况:

    • 黑子替代攻击缺乏目标模型训练数据.
    • 目前的方法使用生成对抗网络 (GAN),面临低效率和发电质量问题.
    • GANs需要为每个目标模型重新训练,限制了可扩展性.

    研究的目的:

    • 提出一种新的无数据替代攻击方案,使用扩散模型 (DMs) 来提高效率和准确性.
    • 解决DM生成数据的域分布和样本变异挑战.
    • 加强模拟目标模型的替代模型的培训.

    主要方法:

    • 使用稳定扩散 (SD),一种扩散模型 (DM),用于数据生成.
    • 引入隐藏代码增强 (LCA) 以将SD生成的数据与目标模型分布对齐.
    • 推断成员数据的增强隐藏代码以指导SD,确保数据多样性和遵守歧视性标准.

    主要成果:

    • 隐藏代码增强 (LCA) 促进了稳定扩散 (SD),以生成高质量,多样化的数据,与目标模型分布保持一致.
    • 使用LCA指导数据训练的替代模型实现了更高的攻击成功率 (ASR).
    • 与现有的基于GAN的方案相比,提出的方法需要更少的查询预算.

    结论:

    • 基于稳定扩散 (SD) 和隐藏代码增强 (LCA) 的新型无数据替代攻击方案显著提高了效率和准确性.
    • 在无数据替代攻击中,LCA有效地克服了GAN的局限性.
    • 这种方法提供了一种更高效和有效的方法,用于在黑盒场景中培训替代模型.