Lab overview
To enable ad hoc and trustworthy collaborations & transactions between entities that have not established trust a-priori, we need to re-think the design of data and compute. We need to advance Web3 and Privacy-Enhancing Technologies to build more scalable trustworthy & verifiable compute and data fabrics.
Research projects
Nokia is developing a seamless connectivity solution for private wireless networks, enabling secure, efficient ad-hoc connections for visitors and improving enterprise…
We’re advancing Zero-Knowledge Proofs (ZKPs) for scalable, privacy-preserving collaboration in trustless environments, enabling secure transactions in Industry 4.0.
Techniques for Machine Learning training that safeguard data privacy as well as model confidentiality.
Our research enables trustless data and model sharing by leveraging verifiable provenance and computations, facilitating collaboration in Industry 4.0 ecosystems and private…
A live-streaming platform for searching and programming the real world.
Team
APA style publications
2022
- Ismi Abidi, Ishan Nangia, Paarijaat Aditya, Rijurekha Sen, "Privacy in Urban Sensing with Instrumented Fleets, Using Air Pollution Monitoring As A Usecase", in NDSS 2022, San Diego, California, USA, April 2022.
2021
- Chengliang Zhang, Junzhe Xia, Baichen Yang, Huancheng Puyang, Wei Wang, Ruichuan Chen, Istemi Ekin Akkus, Paarijaat Aditya, Feng Yan, "Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning", in ACM SoCC 2021, Seattle, WA, USA, November 2021.
- Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu, "Gradient Compression Supercharged High-Performance Data Parallel DNN Training", in ACM SOSP 2021, Virtual, October 2021.
- Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li, "Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning", in IEEE ICDCS 2021, Virtual, July 2021.
2020
- Do Le Quoc, Istemi Ekin Akkus, Pramod Bhatotia, Spyros Blanas, Ruichuan Chen, Christof Fetzer, Thorsten Strufe, "ApproxJoin: Approximate Distributed Joins", in ACM SoCC 2018, Carlsbad, CA, USA, October 2018.
- Ruichuan Chen, Istemi Ekin Akkus, Bimal Viswanath, Ivica Rimac, Volker Hilt, "Towards Reliable Application Deployment in the Cloud", in ACM CoNEXT 2017, Incheon, South Korea, December 2017.
- Jörg Thalheim, Antonio Rodrigues, Istemi Ekin Akkus, Pramod Bhatotia, Ruichuan Chen, Bimal Viswanath, Lei Jiao, Christof Fetzer, "Sieve: Actionable Insights from Monitored Metrics in Distributed Systems", in ACM/IFIP/USENIX Middleware 2017, Las Vegas, NV, USA, December 2017.
- Ennan Zhai, David Isaac Wolinsky, Ruichuan Chen, Ewa Syta, Chao Teng, Bryan Ford, "AnonRep: Towards Tracking-Resistant Anonymous Reputation", in USENIX NSDI 2016, Santa Clara, CA, USA, March 2016.
- Ennan Zhai, Ruichuan Chen, David Isaac Wolinsky, Bryan Ford, "Heading Off Correlated Failures through Independence-as-a-Service", in USENIX OSDI 2014, Broomfield, CO, USA, October 2014.
- Ennan Zhai, Ruichuan Chen, David Isaac Wolinsky, Bryan Ford, "An Untold Story of Redundant Clouds: Making Your Service Deployment Truly Reliable", in ACM HotDep 2013, Farmington, PA, USA, November 2013.
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