2026 International Conference on Machine Learning and Data Security-EI/Scopus

2026 International Conference on Machine Learning and Data Security (MLDS 2026) will be held in Guangzhou, China, from June 12 to 14, 2026.

๐—–๐—ผ๐—ป๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—ช๐—ฒ๐—ฏ๐˜€๐—ถ๐˜๐—ฒ: https://ais.cn/u/bMjymu

—๐—–๐—ฎ๐—น๐—น ๐—ณ๐—ผ๐—ฟ ๐—ฝ๐—ฎ๐—ฝ๐—ฒ๐—ฟ๐˜€—

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

โ—•Track1: Machine Learning Theories and Methods

Supervised and Unsupervised Learning

Deep Learning

Reinforcement Learning

Transfer Learning and Federated Learning

Few-shot and Self-supervised Learning

Model Optimization and Training Techniques

Interpretability in Machine Learning

Trustworthy Machine Learning

Distributed and Parallel Learning

โ—•Track 2: Data Security and Privacy Protection

Data Privacy and Protection Mechanisms

Encryption and Secure Computation

Federated Learning Security

Differential Privacy

Data Access Control

Data Sharing and Compliance

Privacy-Enhancing Technologies

Secure Data Management

Data Security Governance

โ—•Track 3: Intelligent Perception and Data Analytics

Multimodal Data Processing

Pattern Recognition

Data Mining

Large-scale Data Analysis

Real-time Data Processing

Complex Network Analysis

Spatiotemporal Data Analysis

Intelligent Prediction and Decision Making

Anomaly Detection

โ—•Track 4: Network and System Security

Network Security

Intrusion Detection and Prevention

Malware Analysis

Identity Authentication

Cloud Computing Security

Edge Computing Security

Internet of Things Security

System Reliability

Information Security Management

โ—•Track 5: Machine Learning Security Applications

Adversarial Machine Learning

Model Security and Robustness

AI Security Risk Assessment

Automated Threat Detection

Security Situational Awareness

Fraud Detection

Content Security

Biometric Recognition Security

Intelligent System Security

โ—•Track 6: Artificial Intelligence and Interdisciplinary Innovation

AI and Cyberspace Security

Smart City and Security

Industrial Intelligence and Security

FinTech and Risk Control

Medical Data Intelligence

Blockchain and Data Security

Humanโ€“Machine Collaboration

Trustworthy Digital Infrastructure

Emerging Computing Paradigms

—๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ฒ๐—ฟ๐˜€—

Prof. Zhuliang Yu,South China University of Technology, China

—๐—ฃ๐˜‚๐—ฏ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป—

All papers, both invited and contributed, will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of MLDS 2026 will be published in ACM International Conference Proceedings Series, which will be archived in the ACM Digital Library, and indexed by EI Compendex, Scopus.

—๐—œ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐˜ ๐——๐—ฎ๐˜๐—ฒ๐˜€—

Full Paper Submission Date: May 12, 2026

Registration Deadline: May 31, 2026

Final Paper Submission Date: May 31, 2026

Conference Dates: July 12-14, 2026

— ๐—ฃ๐—ฎ๐—ฝ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฏ๐—บ๐—ถ๐˜€๐˜€๐—ถ๐—ผ๐—ป—

Please send the full paper(word+pdf) to Submission System:

https://ais.cn/u/bMjymu