Publications

• There’s Always a Bigger Fish: A Clarifying Analysis of a Machine-Learning-Assisted Side-Channel Attack (ISCA 2022)

  Jack Cook, Jules Drean, Jonathan Behrens, and Mengjia Yan

• Understanding and Improving the Performance of Mitigating Transient Execution Attacks (PhD Thesis)

• Performance Evolution of Mitigating Transient Execution Attacks (EuroSys 2022)

  Jonathan Behrens, Adam Belay, and M. Frans Kaashoek

• Ward: Efficiently Mitigating Transient Execution Attacks using the Unmapped Speculation Contract (OSDI 2020)

  Jonathan Behrens, Anton Cao, Cel Skeggs, Adam Belay, M. Frans Kaashoek, and Nickolai Zeldovich

• Shenango: Achieving High CPU Efficiency for Latency-sensitive Datacenter Workloads (NSDI 2019)

  Amy Ousterhout, Joshua Fried, Jonathan Behrens, Adam Belay, and Hari Balakrishnan

• Derecho: Fast State Machine Replication for Cloud Services (TOCS April 2019)

  Sagar Jha, Jonathan Behrens, Theo Gkountouvas, Mae Milano, Weijia Song, Edward Tremel, Robbert van Renesse, Sydney Zink, and Kenneth P. Birman

• Noria: dynamic, partially-stateful data-flow for high-performance web applications (OSDI 2018)

  Jon Gjengset, Malte Schwarzkopf, Jonathan Behrens, and Lara Timbó Araújo, Martin Ek, Eddie Kohler, M. Frans Kaashoek and Robert Morris

• RDMC: A Reliable RDMA Multicast for Large Objects (DSN 2018)

  Jonathan Behrens, Sagar Jha, Ken Birman, Edward Tremel

• Distributed Dynamic Partially Stateful Dataflow (Masters Thesis)