The goal of this workshop is to bring leaders in security and privacy fields together from across the globe.

Increasingly, sophisticated techniques from machine learning, data mining, statistics and natural language processing are being applied to challenges in security and privacy fields. However, experts from these areas have no medium where they can meet and exchange ideas so that strong collaborations can emerge, and cross-fertilization of these areas can occur. Moreover, current courses and curricula in security do not sufficiently emphasize background in these areas and students in security and privacy are not emerging with deep knowledge of these topics.

Hence, we propose a workshop that will address the research and development efforts in which analytical techniques from machine learning, data mining, natural language processing and statistics are applied to solve security and privacy challenges (“security analytics”). Submissions of papers related to methodology, design, techniques and new directions for security and privacy that make significant use of machine learning, data mining, statistics or natural language processing are welcome. Furthermore, submissions on educational topics and systems in the field of security analytics are also highly encouraged.

Papers must be at most 10 pages in length total and use the ACM CODASPY template. All submissions must describe original research, not published nor currently under review for another workshop, conference, or journal. Submission implies the willingness of at least one author to attend the workshop and present the paper. A limited number of high-quality submissions may be selected for publication in a special issue of a journal. All papers must be submitted electronically via the EasyChair system.

Submission Link: https://easychair.org/my/conference?conf=iwspa2022

Submissions of papers related to methodology, design, techniques and new directions for security and privacy that make significant use of machine learning, data mining, statistics or natural language processing are welcome. Furthermore, submissions on educational topics and systems in the field of security analytics are also highly encouraged. Proposals for tutorials on related topics are also welcome.

The workshop will focus on, but is not limited to, the following areas:

• Natural Language Processing for Security/Privacy

• Data Mining Techniques for Security/Privacy

• Machine Learning for Security/Privacy

• Statistics for Security/Privacy

• Inference Control

• Privacy-Preserving Data Mining

• Security of Machine Learning

• Security of Data Mining

• Security of Natural Language Processing

• Social Network Analysis

• Digital and Multimedia Forensics

• Applications of Blockchain for Security/Privacy

• Case Studies

• Educational Topics and Courses

For more information contact: Andrew H. Sung at andrew.sung@usm.edu or Roland Yap Hock Chuan at ryap@comp.nus.edu.sg

Abstract submission: January 6, 2022 (11:59 PM CDT) January 13, 2022 (11:59 Anywhere in the world)

Paper submission: January 10, 2022 (11:59 PM CDT) January 16, 2022 (11:59 Anywhere in the world)

Author notification: February 1, 2022 February 4, 2022

Final version submission: February 7, 2022 February 9, 2022

When your final version is ready, you need to complete the submission page and upload your .doc/docx and .pdf files or .tex, & .pdf files on or before February 9. Remember to see the email from acm@sheridanprinting.com with the unique-supplied direct link to submit your final version. We also recommend using a modern, standards-compliant Web browser to upload the necessary files.

If you are unable to find your direct submission information, please use the following link to request your unique and individual submission link. Link to Camera Ready Submissions: Sheridan-ACM Submission System

The proceedings of IWSPA 2022 will be available in the ACM Digital Library.