[robotics-worldwide] [meetings] Call for Papers: IEEE Workshop on Assured Autonomous Systems (WAAS) 2020

IEEE WAAS ieeewaas at gmail.com
Wed Dec 11 14:10:04 PST 2019

Call for Papers: IEEE WAAS 2020

Workshop on Assured Autonomous Systems (WAAS)


Important Dates
- Paper submission deadline: 1/19/2020 (Anywhere on Earth)
- Acceptance notification: 2/17/2020
- Publication-ready Papers Due: 3/6/2020
- Workshop: 5/21/2020

Keynote Speaker
- Dr. Sandeep Neema

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.

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.

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
- AI safety considerations and experience from industry
- Evaluating safety of AI systems according to their potential risks and
- 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 against deep learning and security of deep learning systems
- Theoretical foundations of machine learning security
- Formal verification of machine learning models and systems
- Define and understand AI vulnerabilities and exploitable bugs in ML
- Improve resiliency of AI methods and algorithms to various forms of

Detailed submission information can be found on the workshop website:

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
- 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

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.

- Workshop Chair
  - Lanier Watkins, Johns Hopkins University & Applied Physics Lab
- Workshop Co-Chair
  - Howard Shrobe, MIT Computer Science & Artificial Intelligence Lab
- Program Chair
  - Chris Rouff, Johns Hopkins University Applied Physics Lab
- Program Co-Chair
  - Reza Ghanadan, Google
 - Program Committee
  - Natalia Alexandrov, NASA Langley Research Center
  - Yair Amir, Johns Hopkins University
  - Saurabh Bagchi, Purdue University
  - Raheem Beyah, Georgia Institute of Technology
  - Yinzhi Cao, John Hopkins University
  - Anupam Chattopadhyay, Singapore Nanyang Technological University
  - Joel Coffman, United States Air Force Academy
  - Misty Davies, NASA Ames Research Center
  - David Doria, HERE Technologies
  - Abhishek Dubey, Vanderbilt University
  - Ashutosh Dutta, Johns Hopkins University Applied Physics Lab
  - Mike Hinchey, University of Limerick
  - Dezhi Hong, University of California San Diego
  - Yan Huang, Indiana University
  - John S. Hurley, National Defense University
  - Avinash Kalyanaraman, University of Virginia
  - Gabor Karsai, Vanderbilt University
  - Mykel Kochenderfer, Stanford University
  - Xenofon Koutsoukos, Vanderbilt University
  - Jose A. Morales, Carnegie Mellon University
  - Sirajum Munir, Bosch Research and Technology Center
  - Jared Oluoch, University of Toledo
  - William H. Robinson, Vanderbilt University
  - Yasser Shoukry, University of Maryland
  - Houbing Song, Embry-Riddle University
  - Tamim Sookoor, Johns Hopkins University Applied Physics Lab
  - Roy Sterritt, Ulster University
  - Jeremy Straub, University of North Dakota
  - A. Selcuk Uluagac, Florida International University
  - Kristen Walcott, University of Colorado
  - Louis Whitcomb, Johns Hopkins University
  - Paul Wood, Johns Hopkins University Applied Physics Lab

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