198 citations · 482 across the 32 of their papers we have counts for
5 papers · 1 filter
Rethinking Data-driven Networking with Foundation Models: Challenges and Opportunities
Franck Le, Mudhakar Srivatsa, Raghu Ganti +1
Foundational models have caused a paradigm shift in the way artificial intelligence (AI) systems are built. They have had a major impact in natural language processing (NLP), and s…
SPIDER: Fuzzing for Stateful Performance Issues in the ONOS Software-Defined Network Controller
Ao Li, Rohan Padhye, Vyas Sekar
Performance issues in software-defined network (SDN) controllers can have serious impacts on the performance and availability of networks. In this paper, we consider a special clas…
Enabling Efficient and General Subpopulation Analytics in Multidimensional Data Streams
Antonis Manousis, Zhuo Cheng, Ran Ben Basat +2
Today's large-scale services (e.g., video streaming platforms, data centers, sensor grids) need diverse real-time summary statistics across multiple subpopulations of multidimensio…
On the Privacy Properties of GAN-generated Samples
Zinan Lin, Vyas Sekar, Giulia Fanti
The privacy implications of generative adversarial networks (GANs) are a topic of great interest, leading to several recent algorithms for training GANs with privacy guarantees. By…
RareGAN: Generating Samples for Rare Classes
Zinan Lin, Hao Liang, Giulia Fanti +1
We study the problem of learning generative adversarial networks (GANs) for a rare class of an unlabeled dataset subject to a labeling budget. This problem is motivated from practi…