Calls for Contribution > Workshops

  ● Mar 15: Paper submission

  ● Apr 6: Notification of Acceptance

  ● Apr 21: Camera ready

  ● Jun 21: Workshop day of DSN 2021

Workshop on Data-Centric Dependability and Security (DCDS)

Website : http://dcds.lasige.di.fc.ul.pt/

Short description :
  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 Safety and Security in Intelligent Vehicles (SSIV)

Website : https://sites.google.com/view/ssiv

Short description :
  This will be the seventh edition of the SSIV workshop, aimed 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. This year, aimed at providing an increase in the discussion, allowing more researchers to participate in the safety and security strategies in Cyber-Physical Systems, the SSIV will be boosted with new topics focused on other kinds of non-conventional ways of transportation.

  The successful pairing of man and machine, represented by robotics solutions that augment humans, including wearable exoskeletons, has the potential to make our workforce safer and more productive and provide a non-conventional way of transportation. Human augmentation robots bring together the best of what people and machines have to offer -- combining human experience, wisdom, intuition and judgment with the strength, endurance and precision of machines. So, the exoskeleton, wheelchair, wearable robots, and other kinds will be included in the list of topics of interest.

Workshop on Application of Intelligent Technology in Security (AITS)

Website : http://www.bdmls.tech/

Short description :
  With the development of the Internet, cyber security becomes more and more important. Facing the increasingly cyber-attack, the traditional methods to protect the information system are becoming lagging and powerless. Fortunately, artificial intelligent technology offer a completely new and challenging opportunity to the security practitioners. The aim of Internet Workshop on Application of Intelligent Technology in Security (AITS) is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share knowledge and results in theory, methodology and applications in cyber security using intelligent technology, such as machine learning and deep learning.

Workshop on Dependable and Secure Machine Learning (DSML)

Website : https://dependablesecureml.github.io/index.html

Short description :
  The DSML workshop is intended to provide 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 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 machine learning models, and to the challenge of determining whether such systems can comply with the requirements set by regulations, and standards 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 Safer Autonomous Systems (SAS)

Website : https://sas2021.sciencesconf.org/

Short description :
  Building safety by design involves the development of powerful monitoring and adaptation mechanisms that prevent catastrophic events at runtime. Safety-aware validation calls for innovative virtual testing methods, i.e., simulation- and model-based, as physical testing in the field would be too costly, too time-consuming and possibly even too risky. The workshop will (i) present some achievements by researchers and industrial partners of the network, and (ii) promote exchanges with the audience to discuss the open safety-related issues and the novel ways to address them.