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ICAISG--EI 2026 : 2026 The 2nd International Conference on Artificial Intelligence Security and Governance (ICAISG 2026)

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Link: https://www.icaisg.org/
 
When Nov 20, 2026 - Nov 22, 2026
Where Hangzhou, China
Submission Deadline Jun 15, 2026
Categories    information security   information technology   intelligent systems   information management
 

Call For Papers

Full name: 2026 The 2nd International Conference on Artificial Intelligence Security and Governance (ICAISG 2026)
Abbreviation: ICAISG 2026
Hangzhou, China | November 20-22, 2026

We are pleased to announce that 2026 The 2nd International Conference on Artificial Intelligence Security and Governance (ICAISG 2026) will be held in Hangzhou, China during November 20-22, 2026. It is sponsored by Hangzhou Dianzi University, China, hosted by School of Cyberspace, Hangzhou Dianzi University, China, assisted by Sino-France Joint Laboratory for Digital Media Forensics of Zhejiang Province, China.

☑Publication
Accepted papers of ICAISG 2026 (after proper registration and presentation) will be collected in the conference proceedings.

☑Topics
Topics of interest for submission include, but are not limited to:

Track 1: Content Generation and Tampering Content Detection
▪ Media Manipulation Detection and Localization
▪ Deepfake Forgery Detection and Mitigation
▪ Authenticity Assessment of AI-Generated Media (Images, Videos, Audio, Text)
▪ Approximate Reasoning

Track 2: Traceability and Provenance Analysis of Synthetic Content
▪ Source Device Attribution of Synthetic Media
▪ Generative Model Attribution (GANs, Diffusion Models)
▪ Identity Provenance in AI-Generated Content

Track 3: Security of Large Language Models
▪ Adversarial Attacks and Defense Strategies for LLMs
▪ Jailbreaking Attacks and Prompt Injection Mitigation
▪ Security Risks in Knowledge Distillation Pipelines
▪ Monitoring Malicious Adaptation of Open-Source LLMs
▪ Detection and Mitigation of Hallucinations in LLMs
▪ Content Integrity Assurance in Multimodal LLMs

Track 4: Data Privacy Protection
▪ Privacy Leakage in Federated Learning Systems
▪ Privacy-Preserving Data Anonymization Techniques
▪ Secure Multi-Party Computation Frameworks
▪ Ethical Implications of Synthetic Data Generation
▪ Countermeasures Against AI-Driven Data Reconstruction

Track 5: AI-Driven Cybersecurity
▪ AI-Powered Threat Detection and Incident Response
▪ Automated Vulnerability Discovery and Exploitation
▪ AI in Offensive and Defensive Network Operations

For more topics, please visit: https://www.icaisg.org/cfp.html

☑Submission Guideline
♢ English is the official language. Paper should be prepared in English.
♢ Abstract submission is for presentation only without publication.
♢ Full paper submission is for both presentation and publication. (No less than 5 pages)
♢ Submission Methods:
- By online submission system: http://www.easychair.org/conferences/?conf=icaisg2026
- Or Submit to icaisg_contact@yeah.net as attachment
For more details, please visit: https://www.icaisg.org/submission.html

☑Conference Awards
Young Researchers Awards
Best Reviewer Award
Best Student Paper Award
Best Paper Award
Best Oral Presentation Award
Best Poster Presentation Award

☑Venue: Hangzhou Dianzi University (HDU), China
Hangzhou Dianzi University (HDU) is a research and teaching-oriented university with prominent features in electronic information and distinctive advantages in economics and management. It is characterized by the interdisciplinary integration of engineering, science, economics, management, liberal arts, law, and art. Established in 1956, the university was initially named Hangzhou Aviation Industry Finance and Economics School. In 1980, it was approved by the State Council to establish Hangzhou Institute of Electronic Engineering. In 2004, it was renamed Hangzhou Dianzi University. In 2015, HDU was listed as a key university for construction in Zhejiang Province.

☑Contact Us
Conference Secretary: Ms. Yolanda Dong
Email: icaisg_contact@yeah.net
Tel: +86-18080013977
Website: https://www.icaisg.org/
Office Hour: Monday-Friday, 9:30-18:00 (GMT+8)

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