posted by organizer: homa_alem || 823 views || tracked by 1 users: [display]

DSML 2018 : International Workshop on Dependable and Secure Machine Learning (DSML)


When Jun 25, 2018 - Jun 25, 2018
Where Luxembourg City, Luxembourg
Submission Deadline Apr 1, 2018
Notification Due May 1, 2018

Call For Papers

First International Workshop on Dependable and Secure Machine Learning (DSML)
Co-located with the 48th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2018)
25 June 2018, Luxembourg City, Luxembourg

Call for Papers:
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 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.

Topics of Interest:
- Testing, certification, and verification of ML models and algorithms
- Metrics for benchmarking the robustness of ML systems
- Adversarial machine learning (attacks and defenses)
- Resilient and repairable ML models and algorithms
- Reliability and security of ML architectures, computing platforms, and distributed systems
- Faults in implementation of ML algorithms and their consequences
- Dependability of ML accelerators and hardware platforms
- Safety and societal impact of machine learning

Important dates (AoE):
- Submission Deadline: 1 April, 2018
- Notification of Acceptance: 1 May, 2018
- Workshop: 25 June 2018

DSML welcomes both research papers reporting results from mature work, and more speculative papers describing new ideas with preliminary exploratory work. Papers reporting industry experiences and case studies are also encouraged. We solicit submissions in the following formats:
- Regular research papers (up to 6 pages)
- Position or experience papers (up to 3 pages)

All submissions should be in PDF format and must adhere to the IEEE Computer Society 8.5″x11″ two-column camera-ready format (using a 10-point font on 12-point single-spaced leading). Both LaTeX and MS Word templates are available here:

All submitted manuscripts will be peer-reviewed by the program committee. Papers will be accepted and included in the workshop program according to the following criteria: relevance of the addressed topic to the scope of the workshop; novelty and value of the proposed contribution; scientific merit; quality of the writing, presentation accuracy, and style.
Submission URL:

Authors can select either of the following options for the publication of their accepted papers:
(1) Paper will appear in the supplementary DSN proceedings (archived in the IEEE Digital library),
(2) Paper will not be included in the supplementary DSN proceedings, but the authors are required to post a version of the paper on arxiv that will be linked from the workshop website.

Organizing Committee:
Homa Alemzadeh, University of Virginia
Karthik Pattabiraman, University of British Columbia
David Evans, University of Virginia

Program Committee:
Kamalika Chaudhuri, University of California, San Diego
Shalini Ghosh, Stanford Research Institute (SRI)
Zbigniew Kalbarczyk, University of Illinois (UIUC)
Dong Seong Kim, University of Canterbury
Philip Koopman, Carnegie Mellon University (CMU)
Aleksander Mądry, Massachusetts Institute of Technology (MIT)
Cristina Nita-Rotaru, Northeastern University
Alina Oprea, Northeastern University
Nicolas Papernot, Penn State University
Gilles Tredan, LAAS-CNRS
Timothy Tsai, Nvidia
Kush Varshney, IBM Research

Related Resources

FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
JCRAI 2022-Ei Compendex & Scopus 2022   2022 International Joint Conference on Robotics and Artificial Intelligence (JCRAI 2022)
SENSORS Special Issue 2022   'Next Generation of Secure and Resilient Healthcare Data Processing'
IEEE DSC 2022   The 2022 IEEE Conference on Dependable and Secure Computing
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
IJCNN 2023   International Joint Conference on Neural Networks
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
MDPI computers 2022   MDPI computers Special Issue on GPU based Applications in Machine Learning - Open for submission
Computer SI on SE4RAI 2023   IEEE Computer - Special Issue on Software Engineering for Responsible AI