会议信息

ISI 2026: IEEE International Conference on Intelligence and Security Informatics

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ISI
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截稿日期:
2026-06-15
通知日期:
会议日期:
2026-08-12
会议地点:
Cambridge, UK
届数:
ICORE: C   浏览: 23295   关注: 7   参加: 0

会伴指数 (CP-I)

59.1 / 100
全站第 632 名 / 共 5,684 个会议 · 前 12%

安全与隐私 第 53 / 360

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
87
社区关注 (10%)
32
资料公开度 (15%)
55

用到的输入: 收录等级：ICORE C · 有据可查的届次：24 · 在会伴关注它的研究者：7 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-24

征稿

ISI 2026 (IEEE International Conference on Intelligence and Security Informatics) is a ICORE C conference held in Cambridge, UK on 2026-08-12. The paper submission deadline is 2026-06-15.

The rapid development of embodied intelligence, large AI models are fundamentally transforming the landscape of digitalization of societies, industries, and so on. These emerging AI systems face critical security concerns including adversarial attacks, prompt injection, bias propagation, and lack of interpretability. IEEE ISI 2026 conference invites demos, papers, workshops/special sections on responsibility and security challenges and opportunities in the new AI era, with particular emphasis on cutting-edge domains including multimodal large model security, cybersecurity, responsible AI, embodied intelligence and its security, new generation of applications using responsible and secured AI. List of Potential Topics Large Model based Intelligence and Security Robustness enhancement for LM Interpretability and transparency research on LM outputs Hallucination detection and fact-checking mechanisms Security analysis of LM-driven code generation Responsible AI Analysis and detection of bias sources in AI systems Fairness quantification metrics and evaluation frameworks Algorithmic fairness constraints and optimization methods Interpretability methods for black-box models Explainable AI architecture design Cybersecurity and Secured Cyber Intelligence AI-based intrusion detection systems Applications and countermeasures of generative AI in cyberattacks AI-assisted vulnerability discovery and exploitation Defense against AI model poisoning and backdoor attacks Embodied Intelligence and Its Security Safety certification and verification for autonomous robots Robot operating system security Human-robot physical interaction safety Safety coordination in robotic swarm systems
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