USENIX

CSI NN: Reverse Engineering of Neural Network Architectures Through Electromagnetic Side Channel

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Not So Fast: Analyzing the Performance of WebAssembly vs. Native Code

Abhinav Jangda, Bobby Powers, Emery D. Berger, and Arjun Guha, University of Massachusetts Amherst ...
USENIX

Salsify: Low-Latency Network Video through Tighter Integration between a Video Codec and a Transport Protocol

Salsify is a new architecture for real-time Internet video that tightly integrates a video codec and a network transport protocol, allowing it to respond quickly to changing network conditions and ...
USENIX

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Mohammad Shahrad, Rodrigo Fonseca, Íñigo Goiri, Gohar Chaudhry, Paul Batum, Jason Cooke, Eduardo Laureano, Colby Tresness, Mark Russinovich, and Ricardo Bianchini, Microsoft Azure and Microsoft ...
USENIX

Design Guidelines for High Performance RDMA Systems

Modern RDMA hardware offers the potential for exceptional performance, but design choices including which RDMA operations to use and how to use them significantly affect observed performance. This ...
USENIX

P2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling

Dynamic testing or fuzzing of embedded firmware is severely limited by hardware-dependence and poor scalability, partly contributing to the widespread vulnerable IoT devices. We propose a software ...
USENIX

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

A Unified Architecture for Accelerating Distributed DNN Training in Heterogeneous GPU/CPU Clusters

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

FaSST: Fast, Scalable and Simple Distributed Transactions with Two-Sided (RDMA) Datagram RPCs

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Adversarial Preprocessing: Understanding and Preventing Image-Scaling Attacks in Machine Learning

Erwin Quiring, David Klein, Daniel Arp, Martin Johns, and Konrad Rieck, TU Braunschweig ...
USENIX

"All of them claim to be the best": Multi-perspective study of VPN users and VPN providers

USENIX is committed to Open Access to the research presented at our events. Papers and proceedings are freely available to everyone once the event begins. Any video, audio, and/or slides that are ...
USENIX

Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads

We describe ExCamera, a system that can edit, transform, and encode a video, including 4K and VR material, with low latency. The system makes two major contributions. First, we designed a framework to ...