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.

Full Papers for review must be at most 10 pages (12 pages in total) in length in a double-column ACM format (ACM CODASPY template) excluding bibliography and appendices, and short papers for review must be at most 6 pages (8 pages in total) in length in the same format as Full Papers.  

Submission implies the willingness of at least one author to attend the workshop and present the paper. Accepted papers will be included in the ACM Digital Library. The presenter must register for the workshop before the deadline for author registration. The accepted papers will be compiled in the workshop proceedings as either a regular paper within 11 pages or a short paper within 7 pages. 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=iwspa2023 

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 and/or datasets to support security/privacy research

• Educational Topics and Courses 

For more information contact: Andrew H. Sung at andrew.sung@usm.edu

Paper Submission: January 6, 2023 (11:59 CDT) January 16, 2023 (11:59 Anywhere on Earth) Deadline Extended!!!

(Submissions with authors' names and affiliations withheld are not required.)

Acceptance Notification: February 1, 2023

Camera Ready Submission Deadline: February 7, 2023

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 7. 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 2023 will be available in the ACM Digital Library.