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Four MPI-SWS papers accepted at AAAI 2018

Four papers from MPI-SWS have been accepted to AAAI 2018: Beyond Distributive Fairness in Algorithmic Decision Making: Feature Selection for Procedurally Fair LearningLearning to Interact with Learning AgentsInformation Gathering with Peers: Submodular Optimization with Peer-Prediction ConstraintsLearning User Preferences to Incentivize Exploration in the Sharing Economy

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Three MPI-SWS papers accepted at WWW 2018

Three papers from MPI-SWS have been accepted to the 2018 Web Conference: Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction On the Causal Effect of Badges Fake News Detection in Social Networks via Crowd Signals

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Paul Francis launches first-ever anonymization bounty program

Bug bounty programs are a popular way to find security flaws in deployed systems. We are the first to use a bounty program to find flaws in anonymization schemes, namely the anonymization scheme we designed called Diffix. We take an empirical approach to anonymization rather than the more common formal…

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A week-long school for outstanding undergrad/MS students curious about research in computing. Apply now!

Outstanding undergraduate and Masters students are invited to learn about world-class research in security and privacy, social systems, distributed systems, machine learning, programming languages, and verification. Leading researchers will engage with attendees in their areas of expertise: the curriculum will include lectures, projects, and interaction with faculty from participating institutions.…

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POPLpalooza: Five MPI-SWS papers at POPL 2018 + a new record!

In 2018, MPI-SWS researchers authored a total of five POPL papers: Parametricity versus the Universal Type. Dominique Devriese, Marco Patrignani, Frank Piessens.Effective Stateless Model Checking for C/C++ Concurrency. Michalis Kokologiannakis, Ori Lahav, Kostis Sagonas, Viktor Vafeiadis.Monadic refinements for relational cost analysis. Ivan Radicek, Gilles Barthe, Marco Gaboardi, Deepak Garg, Florian Zuleger.Why…

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