• Workshop on Systems Challenges in Reliable and Secure Federated Learning, Co-located with ACM SOSP 2021
    Multi-stakeholder state of Machine Learning (Keynote Speaker)

  • ACM Middleware’20, Delft, Netherlands, (Virtual conference), Dec 2020
    secureTF: A Secure TensorFlow Framework

  • AI Innovation Days 2020, Fraunhofer, Dresden, Germany, (Virtual event), Sept 2020
    Secure Multi-Stakeholder Machine Learning

  • SGX-day, Intel Labs, Hillsboro, Oregon, USA, July 2019
    SCONE: Secure Container Technology and Secrets Management

  • ACM WWW’19, The Web Conference, San Francisco, USA, May 2019
    SGX-PySpark: Secure Distributed Data Analytics (Demo) 
  • Invited talk, T-Systems MMS, Dresden, Germany, May 2019
    SCONE: Secure Container Technology and Secrets Management

  • Invited lecture, Japanese OS workshop, Hakodate Hokkaido, Japan, March 2019
    SCONE: Secure Container Technology and Secrets Management (Keynote Speaker)

  • Intel Labs, Hillsboro, Oregon, USA, Oct 2018
    Secure Privacy-preserving Data Processing in Untrusted Clouds: SCONE Platform and SGX-PySpark

  • IEEE 5G Summit’18, Dresden, Germany, Sept 2018
    SCONE-PySpark: Secure and Privacy-preserving Data Analytics (Demo)

  • POSTECH, Pohang, Gyeongsangbuk-do, South Korea, Mar 2018
    Approximate Computing for Stream Analytics

  • KAIST, Daejeon, South Korea, Mar 2018
    StreamApprox: Approximate Computing for Stream Analytics

  • USENIX Middleware’17, Las Vegas, Nevada, USA, Dec 2017
    StreamApprox: Approximate Computing for Stream Analytics

  • Spark Summit’17, Dublin, Ireland, Oct 2017
    StreamApprox: Approximate Computing for Stream Analytics using Spark Streaming

  • Flink Forward’17, Berlin, Germany, Sept 2017
    StreamApprox: Approximate Computing for Stream Analytics using Apache Flink

  • USENIX ATC’17, Santa Clara, CA, USA, July 2017
    PrivApprox: Privacy-Preserving Stream Analytics

  • Nokia Bell Labs, Stuttgart, Germany, Dec 2016
    Approximate Computing for Stream Analytics

  • IEEE CLOUD’15, New York, USA, July 2015
    UniCrawl: A Practical Geographically Distributed Web Crawlers

  • IEEE CLOUD’15, New York, USA, July 2015
    Scalable Network Traffic Analytics Using Distributed Support Vector Machines

  • IEEE FICLOUD’14, Barcelona, Spain, Aug 2014
    DoLen: User-side multi-cloud application monitoring

  • IEEE UCC’13, Dresden, Germany, Dec 2013
    Scalable and Real-Time Deep Packet Inspection

  • ACM SoICT’11, Hanoi, Vietnam, Oct 2011
    Traffic Dispersion Graph Based Anomaly Detection