Security in Machine Learning and its Applications (SiMLA 2019)

Jun 5-7, 2019, Bogota, Colombia (Co-located with ACNS 2019)

Important Dates

Special Notice

Workshop Background

As the development of computing hardware, algorithms, and more importantly, availability of large volume of data, machine learning technologies have become a increasingly popular. Practical systems have been deployed in various domains, like face recognition, automatic video monitoring, and even auxiliary driving. However, the security implications of machine learning algorithms and systems are still unclear. For example, people still lack deep understanding on adversarial machine learning, one of the unique vulnerability of machine learning systems, and are unable to evaluate the robustness of those machine learning algorithms effectively. At the same time, innovations in machine learning, especially in deep learning, had also bring new tools and methodologies to solve existing problems, like spam detection, intrusion detection and response, etc.

Motivated by this situation, this workshop solicits original contributions on the security problems of machine learning algorithm and systems, including adversarial learning, algorithm robustness analysis, etc. We hope this workshop can bring researchers together to exchange ideas on edge-cutting technologies and brainstorm solutions for urgent problems derived from practical applications.

Topics

Topics of interest include, but not limited, to followings:

Submissions Guidelines

Authors are welcome to submit their papers in following two forms:

The submissions must be anonymous, with no author names, affiliations, acknowledgement or obvious references. Once accepted, the papers will appear in the formal proceedings. Authors of accepted papers must guarantee that their paper will be presented at the conference and must make their paper available online. There will be a best paper award.

Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form, through which the copyright for their paper is transferred to Springer. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

EasyChair System will be used for paper submission.

Please submit your paper via the following link EasyChair System.

https://easychair.org/conferences/?conf=simla2019

Workshop Chairs

Zhou Li (University of California, Irvine)

Kehuan Zhang (The Chinese University of Hong Kong)

(If there is any question, please contact the workshop chair at khzhang@ie.cuhk.edu.hk or zhou.li@uci.edu)

Program Committees

(tentative, more to be added):