Call for Paper: 3rd ACM Computer Science in Cars Symposium (CSCS 2019) – Future Challenges in Artificial Intelligence & Security for Autonomous Vehicles

Zum dritten mal organisiert das German Chapter of the ACM die wissenschaftliche Konferenz CSCS 2019. Einreichungen sind ab sofort möglich.

Call for Paper:

3. ACM COMPUTER SCIENCE IN CARS SYMPOSIUM (CSCS 2019)
FUTURE CHALLENGES IN ARTIFICIAL INTELLIGENCE & SECURITY FOR AUTONOMOUS VEHICLES

SCOPE: Industry as well as academia have made great advances working towards 
an overall vision of fully autonomous driving. Despite the success stories, 
great challenges still lie ahead of us to make this grand vision come 
true. On the one hand, future systems have to be yet more capable to perceive, 
reason and act in complex real world scenarios. On the other hand, these future 
systems have to comply with our expectations for robustness, security and safety. 
ACM, as the world’s largest computing society, addresses these challenges with 
the ACM Computer Science in Cars Symposium. This conference provides a platform 
for industry and academia to exchange ideas and meet these future challenges 
jointly. The focus of the 2018 conference lies on AI & Security for Autonomous 
Vehicles. Contributions centered on these topics are invited. 


TOPICS: Submission of contributions are invited in (but not limited to) the 
follow key areas:

– ARTIFICIAL INTELLIGENCE IN AUTONOMOUS SYSTEMS: Sensing, perception & 
interaction are key challenges — inside and outside the vehicle. Despite the 
great progress, complex real-world data still poses great challenges towards 
reliable recognition and analysis in a large range of operation conditions. 
Latest Machine Learning and in particular Deep Learning techniques have 
resulted in high performance approaches that have shown impressive results on 
real-world data. Yet these techniques lack core requirements like 
interpretability.

– AUTOMOTIVE SECURITY FOR AUTONOMOUS DRIVING: Autonomous cars will increase the 
attack surface of a car as they not only make decisions based on sensor 
information but also use information transmitted by other cars and 
infrastructure. Connected autonomous cars, together with the infrastructure and 
the backend systems of the OEM, constitute an extremely complex system, a so- 
called Automotive Cyber System. Ensuring the security of this system poses 
challenges for automotive software development, secure Car-to-x communication, 
security testing, as well as system and security engineering. Moreover, 
security of sensed information becomes another important aspect in a machine 
learning environment. Privacy enhancing technologies are another issue in 
automotive security, enforced by legislation, e.g., the EU General Data 
Protection Regulation. For widespread deployment in real-world conditions, 
guarantees on robustness and resilience to malicious attacks are key issues.

– EVALUATION & TESTING: In order to deploy systems for autonomous and/or 
assisted driving in the real-world, testing and evaluation is key. Giving 
realistic and sound estimates – even in rare corner cases – is challenging. A 
combination of analytic as well as empirical methods is required.


IMPORTANT DATES & LOGISTICS
Full paper submission deadline: May 26 2019
Extended abstract submission deadline: August 25 2019
Notification of acceptance (full papers): July 14 2019
Notification of acceptance (extended abstracts): September 8 2019
Camera ready full papers due: August 18 2019
Symposium: October 8 2019
Organizer: German Chapter of the ACM
Venue: The symposium takes place at the German Research Center for Artificial Intelligence (DFKI), 
Trippstadter Str.122, 67663 Kaiserslautern, Germany. Kaiserslautern can be conveniently reached by 
train (a 90 minutes ride) directly from the Frankfurt International Airport (FRA). 
Frankfurt International Airport offers a large number of international flights.

ORGANIZING COMMITTEE
Cornelia Denk, BMW, ACM SIGGRAPH Munich Germany
Mario Fritz, CISPA, Germany
Oliver Grau, Intel, Germany, ACM Europe Council
Hans-Joachim Hof, Technical University of Ingolstadt, German Chapter of the ACM
Oliver Wasenmüller, DFKI Kaiserslautern, Germany

GENERAL CHAIR
Hans-Joachim Hof, Technical University of Ingolstadt, German Chapter of the ACM

PROGRAM CHAIRS
Mario Fritz, Helmholtz Center for Information Security (CISPA)
Christoph Krauß, Fraunhofer Institute for Secure Information Technology (SIT)
Oliver Wasenmüller, German Research Center for Artificial Intelligence (DFKI)

PROGRAMM COMMITTEEE
Zeynep Akata, University of Amsterdam, Netherlands 
Bjoern Andres, University of Tübingen, Bosch Center for AI, Germany
Apratim Bhattacharyya, MPI Informatics, Germany
Chih-Hong Cheng, FORTISS, Germany
Markus Enzweiler, Daimler R&D, Germany
Flavio Garcia, University of Birmingham, UK
Fabian Hüger, Volkswagen Group Research, Germany
Dieter Hutter, DFKI, Germany
Frank Kargl, University Ulm, Germany
Stefan Katzenbeisser, University Passau, Germany
Stefan Milz, Valeo, Germany
H. Gregor Molter, Porsche AG, Germany
Stefan Nuernberger, CISPA, Germany
Dennis Kengo Oka, Synopsys, USA
Shervin Raafatnia, Bosch, Germany
Qing Rao, BMW Group, Germany
Bernt Schiele, MPI Informatics, Germany
Joachim Sicking, Fraunhofer IAIS, Germany
Timo van Roermund, NXP, Germany
André Weimerskirch, Lear Corporation, USA
Shanshan Zhang, Nanjing University of Science and Technology, China


FULL PAPERS:
– SUBMISSION: We are inviting industrial and academic participation in the 
event. We are looking for high-quality, original contributions to our peer 
reviewed „Full Paper“ track with oral and poster presentations. The research 
papers must be formatted according to the acm-sigconf-authordraft template, 
which can be obtained from 
http://www.acm.org/publications/article-templates/proceedings-template.html
Page limit is 8 pages with an additional 9th page only containing references. 
Accepted papers will be published as a conference publication in the ACM 
Digital Library. Contributions have to be submitted in the „Full Paper“ track by 
the deadline specified below at https://cmt3.research.microsoft.com/CSCS2019

– REVIEW PROCESS: The review process is double blind, that is, authors do not 
know the names of the reviewers of their papers, and reviewers do not know the 
authors‘ names. Avoid providing information in the submission that may 
identify the authors in the acknowledgments where possible (e.g., company, 
co-workers and grant IDs). Avoid providing links to websites that identify the 
authors.


EXTENDED ABSTRACTS: 
– SUBMISSION: We are inviting submissions for the „Extended abstracts“ tracks 
with  poster presentation — with online publication (this does not count as 
references publication) — in the following 5 categories: demo, exhibitions, 
discussion papers, PhD position paper, and significant, already published work. 
The extended abstracts must be formatted according to the 
acm-sigconf-authordraft template which can be obtained from 
http://www.acm.org/publications/article-templates/proceedings-template.html
Page limit is 2 pages with an additional 3rd page only containing references. 
Contributions have to be submitted in the „Extended Abstract“ track by the 
deadline specified below at https://cmt3.research.microsoft.com/CSCS2019 

– REVIEW PROCESS: The review process is light-weight and single blind, that is,  
the authors, do not know the reviewers‘ names, but the submission does 
not have to be anonymized.

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