First International Workshop on Dependable and Secure Machine Learning 

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 site:


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