Call For PapersBackgroundRecent 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 11th year, provides a venue for presenting and discussing new developments in the intersection of security and privacy with AI and machine learning. Scope of PapersWe invite the following types of papers:
Paper TopicsTopics of interest include, but are not limited to: Adversarial learning and related topics
Security applications of AI and ML
Security-related AI problems
Paper formatPaper 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. Committee members are not required to read the appendices, so the paper should be intelligible without them. Submissions must be anonymized. Papers should be in LaTeX in the new 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 CCS 2017 template, which can be downloaded from https://github.com/acmccs/format. Accepted papers will be published by the ACM Digital Library and/or ACM Press. All submissions must be in English. Submissions can be made through EasyChair using the following link: https://easychair.org/conferences/?conf=aisec2018/p> |