ECSA 2022
Mon 19 - Fri 23 September 2022 Prague, Czech Republic
Fri 23 Sep 2022 09:00 - 09:05 at S4 - Architecting for data-driven systems Chair(s): Jan Carlson, Anne Koziolek

Large-scale Machine Learning (ML) based Software Systems are increasingly developed by distributed teams situated in different trust domains. Insider threats can launch attacks from any domain to compromise ML assets (models and datasets). Therefore, practitioners require information about how and by whom ML assets were developed to assess their quality attributes such as security, safety, and fairness. Unfortunately, it is challenging for ML teams to access and reconstruct such historical information of ML assets (ML provenance) because it is generally fragmented across distributed ML teams and threatened by the same adversaries that attack ML assets. This paper proposes ProML, a decentralised platform that leverages blockchain and smart contracts to empower distributed ML teams to jointly manage a single source of truth about circulated ML assets’ provenance without relying on a third party, which is vulnerable to insider threats and presents a single point of failure. We propose a novel architectural approach called Artefact-as-a-State-Machine to leverage blockchain transactions and smart contracts for managing ML provenance information and introduce a user-driven provenance capturing mechanism to integrate existing scripts and tools to ProML without compromising participants’ control over their assets and toolchains. We evaluate the performance and overheads of ProML by benchmarking a proof-of-concept system on a global blockchain. Furthermore, we assessed ProML’s security against a threat model of a distributed ML workflow.

Fri 23 Sep

Displayed time zone: Belgrade, Bratislava, Budapest, Ljubljana, Prague change

09:00 - 10:30
Architecting for data-driven systemsResearch Papers / Tools & Demos / Industry Program at S4
Chair(s): Jan Carlson Malardalen University, Anne Koziolek Karlsruhe Institute of Technology
ProML: A Decentralised Architecture for Provenance Management of Machine Learning Software SystemsBest paper candidate
Research Papers
A: Nguyen Khoi Tran The University of Adelaide, A: Bushra Sabir , A: Muhammad Ali Babar The University of Adelaide, A: Nini Cui , A: Mehran Abolhasan , A: Justin Lipman
A systematic survey of architectural approaches and trade-offs in data de-identification
Research Papers
A: Dimitri Van Landuyt KU Leuven, Belgium, A: Wouter Joosen Katholieke Universiteit Leuven
Accurate Performance Predictions with Component-based Models of Data Streaming ApplicationsBest paper candidate
Research Papers
A: Dominik Werle Karlsruhe Institute of Technology, A: Stephan Seifermann Karlsruhe Institute of Technology, A: Anne Koziolek Karlsruhe Institute of Technology
DAT: A Tool for Data Architecture for IoT
Tools & Demos
A: Moamin Abughazala University of L'Aquila, A: Henry Muccini University of L'Aquila, Italy, A: Mohammad Sharaf
Media Attached
Blockchain-based Architecture of Immutable Document Repository
Industry Program
Research Papers

Information for Participants
Fri 23 Sep 2022 09:00 - 10:30 at S4 - Architecting for data-driven systems Chair(s): Jan Carlson, Anne Koziolek
Info for session

Each paper is presented as a 5-minute pitch talk at the beginning. The rest of the session is a discussion.

Info for room S4:

After reaching the 3rd floor (either by elevator or the main staircase), turn right.