15th ACM Workshop on Artificial Intelligence and Security (AISec 2022)

Call for Papers

Important Dates

Paper submission deadline: June 24, 2022, 11:59 PM (AoE, UTC-12)
Reviews released: July 25, 2022
Author response due: August 01, 2022
Acceptance notification: August 05, 2022
Camera ready due: September 05, 2022
TBD

Overview

Recent years have seen a dramatic increase in applications of artificial intelligence, machine learning, and data mining to security and privacy problems. The use of AI and ML in security-sensitive domains, in which adversaries may attempt to mislead or evade intelligent machines, creates new frontiers for security research. The recent widespread adoption of deep learning techniques, whose security properties are difficult to reason about directly, has only added to the importance of this research. The AISec workshop, now in its 15th year, is the leading venue for presenting and discussing new developments in the intersection of security and privacy with AI and machine learning.

Topics of Interest

Topics of interest include (but are not limited to):

Theoretical topics related to security

Adversarial learning
Security of deep learning systems
Robust statistics
Learning in games
Economics of security
Differential privacy

Security applications

Computer forensics
Spam detection
Phishing detection and prevention
Botnet detection
Intrusion detection and response
Malware identification and analysis
Data anonymization/de-anonymization
Security in social networks
Big data analytics for security
User authentication

Security-related AI problems

Distributed inference and decision making for security
Secure multiparty computation and cryptographic approaches
Privacy-preserving data mining
Adaptive side-channel attacks
Design and analysis of CAPTCHAs
AI approaches to trust and reputation
Vulnerability testing through intelligent probing (e.g. fuzzing)
Content-driven security policy management & access control
Techniques and methods for generating training and test sets
Anomalous behavior detection (e.g. for the purpose of fraud detection)
Model confidentiality

Submission Guidelines

We invite the following types of papers:

Original research papers on any topic in the intersection of AI or machine learning with security, privacy, or related areas.
Position and open-problem papers discussing the relationship of AI or machine learning to security or privacy. Submitted papers of this type may not substantially overlap with papers that have been published previously or that are simultaneously submitted to a journal or conference/workshop proceedings.
Systematization-of-knowledge papers, which should distill the AI or machine learning contributions of a previously-published series of security papers.

The authors can specify the paper type in the submission form. Paper submissions must be at most 10 pages in double-column ACM format, excluding the bibliography and well-marked appendices, and at most 12 pages overall. Papers should be in LaTeX and we recommend using the ACM format. This format is required for the camera-ready version. Please follow the main CCS formatting instructions (except with page limits as described above). In particular, we recommend using the sigconf template, which can be downloaded from https://www.acm.org/publications/proceedings-template. Accepted papers will be published by the ACM Digital Library and/or ACM Press. Committee members are not required to read the appendices, so the paper should be intelligible without them. Submissions must be in English and properly anonymized.

Submission Site

Submission link: https://aisec2022.hotcrp.com.

All accepted submissions will be presented at the workshop and included in the ACM workshop proceedings.