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03/03/2023
Summary Statistic Privacy in Data Sharing
Data sharing between different parties has become increasingly common ac...
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01/13/2023
CANE: A Cascade-Control Approach for Network-Assisted Video QoE Management
Prior efforts have shown that network-assisted schemes can improve the Q...
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11/11/2022
Rethinking Data-driven Networking with Foundation Models: Challenges and Opportunities
Foundational models have caused a paradigm shift in the way artificial i...
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09/08/2022
SPIDER: A Practical Fuzzing Framework to Uncover Stateful Performance Issues in SDN Controllers
Performance issues in software-defined network (SDN) controllers can hav...
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08/09/2022
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams
Today's large-scale services (e.g., video streaming platforms, data cent...
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06/03/2022
On the Privacy Properties of GAN-generated Samples
The privacy implications of generative adversarial networks (GANs) are a...
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03/20/2022
RareGAN: Generating Samples for Rare Classes
We study the problem of learning generative adversarial networks (GANs) ...
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11/08/2021
A Roadmap for Enabling a Future-Proof In-Network Computing Data Plane Ecosystem
As the vision of in-network computing becomes more mature, we see two pa...
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01/22/2021
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Generative adversarial networks (GANs) are often billed as "universal di...
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12/10/2020
Sketchy With a Chance of Adoption: Can Sketch-Based Telemetry Be Ready for Prime Time?
Sketching algorithms or sketches have emerged as a promising alternative...
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09/06/2020
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Spectral normalization (SN) is a widely-used technique for improving the...
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09/05/2020
Unleashing In-network Computing on Scientific Workloads
Many recent efforts have shown that in-network computing can benefit var...
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02/23/2020
Fighting Fire with Light: A Case for Defending DDoS Attacks Using the Optical Layer
The DDoS attack landscape is growing at an unprecedented pace. Inspired ...
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11/05/2019
Enhancing the Privacy of Federated Learning with Sketching
In response to growing concerns about user privacy, federated learning h...
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11/03/2019
Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches
Communication and privacy are two critical concerns in distributed learn...
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09/30/2019
Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger
Limited data access is a substantial barrier to data-driven networking r...
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01/04/2019
Practical Verifiable In-network Filtering for DDoS defense
In light of ever-increasing scale and sophistication of modern DDoS atta...
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06/21/2018
Oh, What a Fragile Web We Weave: Third-party Service Dependencies In Modern Webservices and Implications
The recent October 2016 DDoS attack on Dyn served as a wakeup call to th...
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11/01/2017
