Welcome to
GenAIST 2027
2027 International Conference on Generative AI Security and Trustworthiness
Venue
Hangzhou, China
Conference Dates
September 3-5, 2027
Submission Deadline
June 25, 2027
Notification Deadline
July 30, 2027
Final Paper Submission Date
August 14, 2027
Registration Deadline
August 20, 2027
About GenAIST 2027
In the context of artificial intelligence profoundly transforming content production and knowledge dissemination, AI security and trustworthy governance are becoming core issues for ensuring technology for good and the healthy development of industry. From content safety and privacy protection to model alignment and interpretability, interdisciplinary research on the security and trustworthiness of generative AI is driving the responsible deployment and application of intelligent technologies.
To delve into the frontiers and future trends in the security and trustworthiness of generative artificial intelligence, the 2027 International Conference on Generative AI Security and Trustworthiness (GenAIST 2027) will be held in Hangzhou, China, from September 3 to 5, 2027. The conference will focus on frontier directions including generative model security, content trustworthiness evaluation, privacy protection, model alignment and interpretability, and AI governance and responsible development. Through keynote speeches, oral presentations, and poster sessions, it will provide a high-level academic exchange platform for participants. We sincerely invite scholars, engineers, and industry representatives worldwide to submit papers and attend the conference, share their achievements, exchange innovative ideas, and jointly promote interdisciplinary development and governance innovation in the field of generative AI security and trustworthiness.
Submission & Publication
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Please send the full paper (Word+PDF) to the Submission System.
📤︎Submission System (CN)📤︎Submission System (EN)
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
but are not limited to:
📚︎Track 1: Foundations of Generative AI Security
Generative AI model security
Security architectures and mechanisms
Threat modeling and risk analysis
Model robustness
Adversarial attacks and defenses
Model behavior analysis
Security evaluation methods
Reliability of generative systems
📚︎Track 2: Data Security and Privacy Protection
Training data security
Data governance and quality
Privacy-preserving technologies
Privacy leakage analysis
Data access control
Data provenance and traceability
Synthetic data security
Data compliance and management
📚︎Track 3: Trustworthy and Responsible Generative AI
Trustworthy generation technologies
Explainability and transparency
Fairness and bias mitigation
Responsible AI
Human oversight and control
Model validation and certification
Safety and value alignment
Trustworthy decision support
📚︎Track 4: Generative Content Safety and Integrity
Generative content safety
Harmful content detection
Misinformation and disinformation governance
Deepfake detection
Content provenance and labeling
Abuse detection
Content safety filtering
Digital content authenticity
📚︎Track 5: Generative AI Systems and Application Security
Generative AI system security
Cloud-based model security
Edge generative AI
AI agent security
Tool-calling and interface security
Multimodal system security
Secure deployment and operations
Security of industry applications
📚︎Track 6: Security Governance, Standards, and Societal Impact
AI security governance
Standards and regulations
Risk management
Security auditing
Incident response and handling
Intellectual property and content rights
Human–AI collaboration and societal impact
International cooperation and governance practices
会议秘书
其他咨询
The Secretary's office of GenAIST 2027 will collect contributions and handle daily organizational tasks.
All paper reviews will be completed by Program Committee Members and invited experts.
* If you have any questions or inquiries, please feel free to contact us.