USENIX

Practical Byzantine Fault Tolerance

This paper describes a new replication algorithm that is able to tolerate Byzantine faults. We believe that Byzantine-fault-tolerant algorithms will be increasingly important in the future because ...
USENIX

Telekine: Secure Computing with Cloud GPUs

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

Hyperscan: A Fast Multi-pattern Regex Matcher for Modern CPUs

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 ...
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Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks

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 ...
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A Study of SSD Reliability in Large Scale Enterprise Storage Deployments

This paper presents the first large-scale field study of NAND-based SSDs in enterprise storage systems (in contrast to drives in distributed data center storage systems). The study is based on a very ...
USENIX

Special Discounts for Members

Membership discounts will be available below when event registration opens. If you are a USENIX member, log in to access your discount code (s). Not a USENIX member? Join today!
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Stealing Machine Learning Models via Prediction APIs

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 ...
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VoltPillager: Hardware-based fault injection attacks against Intel SGX Enclaves using the SVID voltage scaling interface

Zitai Chen, Georgios Vasilakis, Kit Murdock, Edward Dean, David Oswald, and Flavio D. Garcia, School of Computer Science, University of Birmingham, UK ...
USENIX

Fingerprinting Obfuscated Proxy Traffic with Encapsulated TLS Handshakes

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 ...
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TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

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

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

BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning

Cross-silo federated learning (FL) enables organizations (e.g., financial, or medical) to collaboratively train a machine learning model by aggregating local gradient updates from each client without ...