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2027 International Conference on AI Safety and Security (AIS² 2027)

CFP

Topics

The topics of interest for submission include, but are not limited to:

Large Models and Generative AI Security

Prompt Injection and Jailbreak Attacks

Adversarial Examples and Harmful Content Generation

Hallucination Detection and Factual Assurance

Multimodal Model Security

Retrieval-Augmented Generation (RAG) Security

AI Agent Security and Access Control

Tool Calling and External Interaction Security

Red Teaming and Evaluation of Large Language Models

Adversarial Machine Learning and Model Robustness

System components

Virtual reality platform

AI platform for VR/AR

Data and generation, operation, analysis and verification

Generation of immersive environments and virtual worlds

Optimization and realistic rendering

Trustworthy AI and Safety Alignment

Interpretability and auditability

Human feedback alignment risks

Uncertainty estimation and safety decision-making

Goal specification and behavior control

Safety constraint learning

Factuality, consistency, and robustness

Trustworthy assessment and certification

AI safety design for high-risk scenarios

Privacy protection and data security

Training data leakage and inference attacks

Differential privacy and federated privacy

Secure multi-party computation and homomorphic encryption

Privacy leakage of generative models

Data de-identification and compliance governance

Privacy-preserving machine learning

Security of cross-domain data sharing

Privacy evaluation and auditing

AI System and Infrastructure Security

AI Platform and MLOps Security

Model Repository and Supply chain Security

Cloud, Edge and End-Device Deployment Security

Runtime Monitoring and Intrusion Detection

Inference Service and Access Control Security

AI Acceleration Hardware and Firmware Security

Containerization and Microservices Security

Connected Smart Devices and Autonomous Systems Security

AI Safety Governance and Social Impact

AI Safety Standards and Certifications

High-Risk AI Regulation and Auditing

Algorithm Discrimination and Fairness Risks

Misinformation Governance

Safety Ethics and Responsibility Mechanisms

Incident Response and Risk Notification

International Governance and Policy Comparisons

Interdisciplinary Research on AI Safety