Call for papers open In person

Adversarial Machine Learning and Secure AI Applications Conference in Osaka, Japan – January 2027

Official name: International Conference on Adversarial Machine Learning and Secure AI Applications (ICAMLSAA)

Jan 7, 2027 Osaka, Japan
Abstract deadline December 6, 2026
27days
–hours
–min
Submit on the conference website
DatesJan 7, 2027
Abstract deadlineDec 6, 2026
Organized byInexed Conferences
Event ID1490428

About this conference

This machine learning conference takes place in Osaka, Japan on Jan 7, 2027. Abstracts and papers are due by December 6, 2026. It is one of 3149 upcoming conferences in Japan; the next one after it starts on January 7. It is organized by Inexed Conferences.

The focus of this conference is to critically analyze adversarial machine learning and its implications for secure AI applications. Researchers and industry experts will present their work, covering crucial topics such as defense mechanisms and vulnerabilities. Contributions in various formats, including papers and posters, are welcomed and will undergo a peer-review process ensuring academic rigor. Networking opportunities will enhance the exchange of ideas among participants, fostering collaboration for future projects. By bringing together diverse experiences and expertise, the conference aims to shed light on key challenges and contribute to the ongoing discourse about secure AI practices.

Topics

Machine Learning Cybersecurity

Key dates

  1. Abstract deadline · Dec 6, 202627 days left
  2. Conference · Jan 7, 2027Osaka, Japan

Details come from the organizer. Please check dates, fees and venue on the conference website before you register or travel.

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