Assured Autonomy Tools Portal
Continual Assurance of Learning-Enabled, Cyber-Physical Systems (LE-CPS)

2023 IEEE International Conference on Assured Autonomy (ICAA)

Important Dates

● Paper submission deadline: 2/13/2023 3/6/2023 (Anywhere on Earth)
● Acceptance notification: 3/13/2023 3/27/2023
● Publication-ready Papers Due: 4/10/2023
● Conference: June 6-8, 2023, Johns Hopkins University Applied Physics Laboratory

Supported by

● Johns Hopkins University Applied Physics Laboratory
● IEEE SMC (support applied for)


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 of Interest

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
● Resilient, explainable deep learning, and interpretable machine learning
● Verification, testing and assurance of machine learning models and autonomous systems
● Autonomic computing for autonomous system safety
● Standards, ethics, and policies for autonomy and AI safety and bias
● Test, evaluation, certification and assurance of autonomous AI systems
● 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 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

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

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.

Submission Web Site

Please see: