Monday June 29th

Monday June 24th

All times are shown in CET (Central European Time)
08:00 - 17:00 Registration - Mezzanine
08:00 - 09:00 Breakfast - Parliamnent | Room: lower level
Workshop on Data-Centric Dependability and Security (DCDS 2019) 2nd Workshop on Dependable and Secure Machine Learning (DSML 2019) 5th International Workshop on Safety and Security of Intelligent Vehicles (SSIV 2019)
Room Windsor Cambridge Brighton
09:00 - 10:30 Session 1 Session 1 Session 1
10:30 - 11:00 Coffee Break | Room: Oxford
11:00 - 12:30 Session 2 Session 2 Session 2
12:30 - 14:00 Lunch - London Grill and Parliamnent (lower level)
14:00 - 15:30 Session 3 Session 3 Session 3
15:30 - 16:00 Coffee Break | Room: Oxford
16:00 - 17:30 Session 4 Session 4
17:30 - 19:30 Reception | Room: Crystal Ballroom
Workshop on Dependable and Secure Machine Learning
The DSN Workshop on Dependable and Secure Machine Learning (DSML) is an open forum for researchers, practitioners, and regulatory experts, to present and discuss innovative ideas and practical techniques and tools for producing dependable and secure machine learning (ML) systems. A major goal of the workshop is to draw the attention of the research community to the problem of establishing guarantees of reliability, security, safety, and robustness for systems that incorporate increasingly complex ML models, and to the challenge of determining whether such systems can comply with the requirements for safety-critical systems. A further goal is to build a research community at the intersection of machine learning and dependable and secure computing.


Workshop on Data-Centric Dependability and Security

Dependability and security are of the utmost importance for computing systems. Due to the scale and complexity of current systems, both aspects are a permanent and growing concern in industry and academia. On the one hand, the volume and diversity of functional and non-functional data, including open source information, along with increasingly dynamical operating environments, create additional obstacles to the dependability and security of systems. On the other hand, it creates an information rich environment that, leveraged by techniques from modern data science, machine and statistical learning, and visualization, will contribute to improve systems resilience in contexts of dynamic operating environments and unexpected operating conditions. As such, there is a strong demand for production-ready systems leveraging from data-centric solutions able to improve and, adaptively, maintain the dependability and security of computing systems.

The workshop on Data-Centric Dependability and Security (DCDS) aims at providing researchers with a forum to exchange and discuss scientific contributions and open challenges, both theoretical and practical, related to the use of data-centric approaches that promote the dependability and cybersecurity of computing systems. We want to foster joint work and knowledge exchange between the dependability and security communities, and researchers and practitioners from areas such as machine and statistical learning, and data science and visualization. The workshop provides a forum for discussing novel trends in data-centric processing technologies and the role of such technologies in the development of resilient systems. It aims to discuss novel approaches for processing and analysing data generated by the systems as well as information gathered from open sources, leveraging from data science, machine and statistical learning techniques, and visualization. The workshop shall contribute to identify new application areas as well as open and future research problems, for data-centric approaches to system dependability and security.


Workshop on High-performance computing platforms for dependable autonomous systems

A number of high-performance computing (HPC) commercial off-the-shelf (COTS)
platforms offer the computation capabilities needed by autonomous systems in
domains such as automotive, space, avionics, robotics and factory automation by
means of multicores, GPUs and specialized accelerators. Unfortunately, the
utilization of HPC platforms has been traditionally considered out of the reach for the
safety-critical systems industry due to the difficulties or roadblocks these platforms
bring to the certification process. This workshop focuses on the research towards the
adoption of HPC hardware and software platforms in the context of safety- and
security-critical applications. In particular, the scope of the workshop includes
functional-safety and security requirements for HPC systems, including but not
limited to non-functional aspects such as time-predictability and energy consumption.

Topics of interest

  1. High-performance critical real-time systems
  2. Dependable systems and safety mechanisms
  3. Hardware and Software security in safety-critical systems


Carles Hernàndez (Universitat Politènica de València)
Jaume Abella (Barcelona Supercomputing Center)
Mikel Azkarate-askatsua (Ikerlan)
Roman Obermaisser​ (University of Siegen)


Workshop on Safety and Security of Intelligent Vehicles

Over the last years, aerial and ground vehicles as well as mobile robot systems have been receiving an increased number of electronic components, connected through wireless networks and running embedded software. As processing power increases and software becomes more sophisticated, these vehicles gain the ability to perform complex operations, becoming more autonomous, safe, efficient, adaptable, comfortable and usable. These are known as Intelligent Vehicles.

This will be the sixth edition of the workshop, aiming at continuing the success of previous editions. The vast range of open challenges to achieve Safety and Security in Intelligent Vehicles (with or without connection with the Internet) is a fundamental reason that justifies the numerous research initiatives and wide discussion on these matters, which we are currently observing everywhere. Therefore, the workshop will keep its focus on exploring the challenges and interdependencies between security, real-time, safety and certification, which emerge when introducing networked, autonomous and cooperative functionalities.