2027 2nd International Conference on Machine Learning and Data Security (MLDS 2027)

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About MLDS 2027

The 2027 2nd International Conference on Machine Learning and Data Security (MLDS 2027) will take place from June 18 to 20, 2027, in Hohhot, China. The inaugural conference in Guangzhou (2026) brought together researchers and industry professionals from around the world, yielding significant advances at the intersection of machine learning and data security and establishing a strong foundation for future editions.

Amid rapid breakthroughs in artificial intelligence and the growing recognition of data as a key factor of production, the convergence of machine learning and data security continues to open new research frontiers. Building on the success of its predecessor, MLDS 2027 aims to serve as a premier international forum for cutting-edge research. The conference will focus on advanced theories and methods in machine learning, core technologies in data security and privacy protection, and their integration in critical domains such as smart manufacturing, smart cities, and fintech. Through in-depth discussions on topics including deep learning explainability, federated learning, privacy-preserving computing, adversarial attacks and defenses, secure data sharing, and trustworthy AI, the conference seeks to advance the development of safe, reliable, and responsible AI.MLDS 2027 will gather researchers, engineers, and industry practitioners from universities, research institutions, and companies worldwide. Through keynote speeches, oral presentations, and poster sessions, participants will share their latest findings, discuss emerging technical developments, and explore real-world challenges across industrial applications. We invite researchers from all over the world to submit papers and join us in Hohhot—gateway to the Inner Mongolian grasslands—for vibrant academic exchange, collaborative innovation, and collective efforts to advance machine learning and data security.

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Conference Info.

🗓︎Important Dates

Full Paper Submission Date: April 2, 2027

Notification of Acceptance: May 3, 2027

Registration Deadline: May 18, 2027

Conference Dates: June 18-20, 2027

🗺︎Venue

Hohhot, China

Call For Papers

📚︎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; More...

📚︎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; More...

📚︎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; More...

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Publication

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

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.

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