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 ...

While the number of vulnerabilities in the Linux kernel has increased significantly in recent years, most have limited capabilities, such as corrupting a few bytes in restricted allocator caches. To ...

With the mobile phone market exceeding one billion units sold in 2023, ensuring the security of these devices is critical. However, recent research has revealed worrying delays in the deployment of ...

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 ...

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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 ...

Workload autoscaling is widely used in public and private cloud systems to maintain stable service performance and save resources. However, it remains challenging to set the optimal resource limits ...

Session tickets improve the performance of the TLS protocol. They allow abbreviating the handshake by using secrets from a previous session. To this end, the server encrypts the secrets using a ...

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 ...

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The increasing complexity of modern processors poses many challenges to existing hardware verification tools and methodologies for detecting security-critical bugs. Recent attacks on processors have ...

Generative machine learning models have made convincing voice synthesis a reality. While such tools can be extremely useful in applications where people consent to their voices being cloned (e.g., ...