Machine learning (ML) compilers are effective solutions for deploying diverse Deep Neural Network (DNN) workloads on various hardware platforms automatically. However, there is a notable lag in ...

USENIX celebrates its 50th anniversary in 2025. We celebrate decades of innovations, experiments, and gatherings of the advanced computing system community. And in the spirit of our ever-evolving ...

Penetration testing, a crucial industrial practice for ensuring system security, has traditionally resisted automation due to the extensive expertise required by human professionals. Large Language ...

Large Language Models (LLMs) have transformed code completion tasks, providing context-based suggestions to boost developer productivity in software engineering. As users often fine-tune these models ...

Email has become an essential service for global communication.In email protocols, a Delegation Mechanism allows emails to be sent by other entities on behalf of the email author. Specifically, the ...

Recent advancements in generative AI have enabled ubiquitous access to large language models (LLMs). Empowered by their exceptional capabilities to understand and generate human-like text, these ...

Online learning is widely used in production to refine model parameters after initial deployment. This opens several vectors for covertly launching attacks against deployed models. To detect these ...

Published in the Proceedings of the Third Symposium on Operating Systems Design and Implementation, New Orleans, USA, February 1999. This research was supported in part by DARPA under contract ...

With the increasing adoption of Augmented Reality/Virtual Reality (AR/VR) systems, security and privacy concerns attract attention from both academia and industry. This paper demonstrates that AR/VR ...

The USENIX Association is a 501 (c) (3) nonprofit organization, dedicated to supporting the advanced computing systems communities and furthering the reach of innovative research. We are known for ...

We study microarchitectural side-channel attacks and defenses on non-volatile RAM (NVRAM) DIMMs. In this study, we first perform reverse-engineering of NVRAMs as implemented by the Intel Optane DIMM ...

Alpa automates model-parallel training of large deep learning (DL) models by generating execution plans that unify data, operator, and pipeline parallelism. Existing model-parallel training systems ...