Analytic Augmentation Component for Workshops on Computational Cybersecurity in Compromised Environments (C3E)

受损环境中计算网络安全研讨会的分析增强组件 (C3E)

基本信息

  • 批准号:
    2026148
  • 负责人:
  • 金额:
    $ 19.99万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-10-01 至 2023-09-30
  • 项目状态:
    已结题

项目摘要

The Computational Cybersecurity in Compromised Environments (C3E) workshop series identifies recent challenges in the changing cybersecurity landscape and explores different possible courses of research action. The workshops stimulate discussion and awareness among industry, academia and government that cybersecurity challenges are complex problems with many perspectives, competing interests, and possible consequences for society. The C3E workshops also offer challenge problems, encouraging team-oriented multidisciplinary approaches to investigate a challenge by considering socio-economic outcomes, trust, public safety, privacy risks, technology policy, and the larger consequences for society. The research theme for the upcoming C3E challenge problem is motivated by concerns over social-cyber manipulation at scale. The challenge is to explore hybrid approaches to support cognitive security in human-machine teaming, leveraging advances in artificial intelligence, machine learning, and analytics at Internet scale. Of particular interest are processes for decision-making and analytic judgments that may be vulnerable to incorrect, incomplete, misleading, or misinformation in cyber-mediated contexts, the means to mitigate these vulnerabilities, and methods for restoring trust once lost. The research results will be widely disseminated to inform the research community and the general public.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在受损环境中的计算网络安全(C3E)研讨会系列确定了不断变化的网络安全格局中的最新挑战,并探讨了研究行动的不同可能路线。这些研讨会激发了业界、学术界和政府的讨论和认识,即网络安全挑战是一个复杂的问题,有许多观点、相互竞争的利益以及可能对社会造成的后果。C3E研讨会还提供挑战问题,鼓励以团队为导向的多学科方法,通过考虑社会经济成果,信任,公共安全,隐私风险,技术政策以及对社会的更大影响来调查挑战。即将到来的C3E挑战问题的研究主题是出于对大规模社交网络操纵的担忧。 挑战在于探索混合方法来支持人机合作中的认知安全,利用人工智能,机器学习和互联网规模分析的进步。特别令人感兴趣的是决策和分析判断的过程,这些过程可能容易受到网络媒介环境中不正确,不完整,误导或错误信息的影响,减轻这些脆弱性的方法,以及一旦失去信任就恢复信任的方法。研究成果将被广泛传播,以告知研究界和公众。该奖项反映了NSF的法定使命,并已被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。

项目成果

期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Daniel Wolf其他文献

Decreased Speech Coherence Captured by Novel Natural Language Processing Methods in Two Cohorts of Individuals With Schizophrenia
  • DOI:
    10.1016/j.biopsych.2020.02.971
  • 发表时间:
    2020-05-01
  • 期刊:
  • 影响因子:
  • 作者:
    Sunny Tang;Reno Kriz;Sunghye Cho;João Sedoc;Suh Jung Park;Jenna Harowitz;Mahendra Bhati;Raquel Gur;Daniel Wolf;Mark Liberman
  • 通讯作者:
    Mark Liberman
405. Exploring the Glutamatergic Underpinnings of Within-Network Functional Connectivity and Motor Performance in a Transdiagnostic Cohort
  • DOI:
    10.1016/j.biopsych.2024.02.904
  • 发表时间:
    2024-05-15
  • 期刊:
  • 影响因子:
  • 作者:
    Margaret Pecsok;Alfredo Lucas;Ally Atkins;Monica Calkins;Adam Czernuszenko;Ruben C. Gur;Ravi Prakash Reddy Nanga;Heather Robinson;Kosha Ruparel;Nick Wellman;Daniel Wolf;Theodore Satterthwaite;David Roalf
  • 通讯作者:
    David Roalf
Less is More: Selective reduction of CT data for self-supervised pre-training of deep learning models with contrastive learning improves downstream classification performance
  • DOI:
    10.1016/j.compbiomed.2024.109242
  • 发表时间:
    2024-12-01
  • 期刊:
  • 影响因子:
  • 作者:
    Daniel Wolf;Tristan Payer;Catharina Silvia Lisson;Christoph Gerhard Lisson;Meinrad Beer;Michael Götz;Timo Ropinski
  • 通讯作者:
    Timo Ropinski
Calnexin controls TrkB cell surface transport and ER-phagy in mouse cerebral cortex development.
Calnexin 控制小鼠大脑皮层发育中的 TrkB 细胞表面转运和 ER 吞噬。
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    11.8
  • 作者:
    Patrick Lüningschrör;Thomas Andreska;Alexander Veh;Daniel Wolf;Neha Jadhav Giridhar;Mehri Moradi;A. Denzel;M. Sendtner
  • 通讯作者:
    M. Sendtner
Electron Tomography for 3D Imaging of Nanoscale Materials
用于纳米级材料 3D 成像的电子断层扫描
  • DOI:
  • 发表时间:
    2018
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Daniel Wolf;Christian Kübel
  • 通讯作者:
    Christian Kübel

Daniel Wolf的其他文献

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{{ truncateString('Daniel Wolf', 18)}}的其他基金

Conference: Resilient Cooperative AI/ML in Compromised Environments
会议:受损环境中的弹性协作 AI/ML
  • 批准号:
    2317987
  • 财政年份:
    2023
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
8th Workshop on Computational Cybersecurity in Compromised Environments (C3E)
第八届受损环境中的计算网络安全研讨会(C3E)
  • 批准号:
    1650862
  • 财政年份:
    2016
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant
Computer Literacy and the Professional Development of the Engineering Student
计算机素养和工科学生的专业发展
  • 批准号:
    7900399
  • 财政年份:
    1979
  • 资助金额:
    $ 19.99万
  • 项目类别:
    Standard Grant

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