ICAA2023

Call for Papers

The IEEE International Conference on Assured Autonomy (ICAA) 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. The primary focus of this conference 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 and types of contributions

ICAA 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):

Autonomous System and AI Safety

Detecting dataset anomalies that lead to unsafe AI decisions
Evaluating safety of autonomous systems according to their potential risks and vulnerabilities
Resilient, explainable deep learning, and interpretable machine learning
Verification, testing and acceptance of machine learning models and autonomous systems

Autonomic computing for autonomous system safety
Standards, ethics, and policies for autonomy and AI safety
Safety and assurance of human-autonomy teaming

Security and Privacy of Autonomous Systems and AI

Detecting dataset anomalies that lead to autonomous system security and privacy violations
Differential privacy and privacy-preserving learning and generative models
Adversarial attacks (e.g. Trojans) on AI and autonomy, and defenses against adversarial attacks
Improving resiliency of AI and autonomous system methods and algorithms to various forms of attacks
Engineering trusted autonomous system and AI software architectures

Paper Format

Full papers (10 pages)
Work-in-progress papers (4 pages)

Important dates

Submission deadline: ~~February 13, 2023~~ March 6, 2023 (Anywhere on Earth)
Acceptance Notification: ~~March 13, 2023~~ March 27, 2023
Camera-ready Papers Due: April 10, 2023
Conference: June 6-8, 2023, Johns Hopkins University Applied Physics Laboratory

Registration Dates

Early Registration Start: ~~March 13, 2023~~ March 27, 2023
Early Registration End: ~~May 8, 2023~~ April 30, 2023
Late Registration End: June 8, 2023

Supported By

IEEE SMC
Johns Hopkins University Institute for Assured Autonomy

Submission Guidelines

You are invited to submit regular papers of up to ten 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 should be in IEEE conference format. Templates can be found at https://www.ieee.org/conferences/publishing/templates.html.

Presentation Form

All accepted submissions will be presented at the conference and included in the IEEE conference 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 conference and present the paper for it to be included in the proceedings.