USENIX

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

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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Universal Radio Hacker: A Suite for Analyzing and Attacking Stateful Wireless Protocols

Johannes Pohl and Andreas Noack, University of Applied Sciences Stralsund ...
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Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E)

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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eSIMplicity or eSIMplification? Privacy and Security Risks in the eSIM Ecosystem

Maryam Motallebighomi, Jason Veara, Evangelos Bitsikas, and Aanjhan Ranganathan, Northeastern University ...
USENIX

NSDI '20

USENIX Conference Policies We encourage you to learn more about USENIX's values and how we put them into practice at our conferences. Conference Accessibility For information about childcare, mother's ...
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OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud

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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Amazon DynamoDB: A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service

Mostafa Elhemali, Niall Gallagher, Nicholas Gordon, Joseph Idziorek, Richard Krog, Colin Lazier, Erben Mo, Akhilesh Mritunjai, Somu Perianayagam ,Tim Rath, Swami ...
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PentestGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing

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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Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

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 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 ...
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SmartMoE: Efficiently Training Sparsely-Activated Models through Combining Offline and Online Parallelization

Mingshu Zhai, Jiaao He, Zixuan Ma, Zan Zong, Runqing Zhang, and Jidong Zhai, Tsinghua University ...
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Triangulating Python Performance Issues with SCALENE

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 ...