Call for Papers: Workshop on Assured Autonomous Systems The Workshop on Assured Autonomous Systems (WAAS) plans to address the gap that exists between theory-heavy autonomous systems and algorithms and the privacy, security, and safety of their real-world implementations. Advances in machine learning and artificial intelligence have shown great promise in automating complex decision-making processes across transportation, critical infrastructure, and cyber infrastructure domains. Practical implementations of these algorithms require significant systems engineering and integration support, especially as they integrate with the physical world. This integration is wrought with artificial intelligence (AI) safety, security, and privacy issues. Important Dates * Paper submission deadline: 2/3/2020 (Anywhere on Earth) * Acceptance notification: 2/17/2020 * Publication-ready Papers Due: 3/6/2020 * Workshop: 5/21/2020 The primary focus of this workshop is the: (1) detection of, (2) response to, and (3) recovery from AI safety, security, and privacy violations in autonomous systems. Key technical challenges include discriminating between application-layer data breaches and benign process noises, responding to breaches and failures in real-time systems, and recovering from decision making failures autonomously. Topics of Interest WAAS seeks contributions on all aspects of AI safety, security, and privacy in autonomous systems. Papers that encourage the discussion and exchange of experimental and theoretical results, novel designs, and works in progress are preferred. Topics of interest include (but are not limited to): AI Safety * Detecting dataset anomalies that lead to unsafe AI decisions * Engineering trusted AI software architectures * Status of existing approaches in ensuring AI/ML safety and gaps to be addressed * AI safety considerations and experience from industry * Evaluating safety of AI systems according to their potential risks and vulnerabilities * Resilient, explainable deep learning, and interpretable machine learning * Game theoretic analysis on machine learning models * Misuse of AI and deep learning Security and Privacy * Detecting dataset anomalies that lead to autonomous system security and privacy violations * Differential privacy and privacy-preserving learning and generative models * Adversarial attacks on machine learning and defenses against adversarial attacks * Theoretical foundations of machine learning security * Formal verification of machine learning models and systems * Define and understand AI vulnerabilities and exploitable bugs in ML systems * Improve resiliency of AI methods and algorithms to various forms of attacks Submission Guidelines You are invited to submit regular papers of up to six pages, or four pages for works in progress, including references. To be considered, papers must be received by the submission deadline. Submissions must be original work and may not be under submission to another venue at the time of review. Please mark all of your conflicts of interest when submitting your paper. Papers must be formatted for US letter (not A4) size paper. The text must be formatted in a two-column layout, with columns no more than 9.5 in. tall and 3.5 in. wide. The text must be in Times font, 10-point or larger, with 11-point or larger line spacing. Authors are strongly recommended to use the latest IEEE conference proceedings templates. Failure to adhere to the page limit and formatting requirements are grounds for rejection without review. For any questions, contact the workshop organizers at ieeewaas@gmail.commailto:ieeewaas@gmail.com Presentation Form All accepted submissions will be presented at the workshop and included in the IEEE workshop proceedings. Due to time constraints, accepted papers will be selected for presentation as either talk or poster based on their review score and novelty. Nonetheless, all accepted papers should be considered as having equal importance. One author of each accepted paper is required to attend the workshop and present the paper for it to be included in the proceedings. Submission Site Submissions should be made online at: https://www.ieee-security.org/TC/SPW2020/WAAS/