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 ...

USENIX Security brings together researchers, practitioners, system administrators, system programmers, and others to share and explore the latest advances in the security and privacy of computer ...

OSDI brings together professionals from academic and industrial backgrounds in what has become a premier forum for discussing the design, implementation, and implications of systems software. The ...

Registration Fees USENIX offers Early Bird Registration discounts to those who register for USENIX ATC '25 by Monday, June 16. We are offering a special opportunity for USENIX ATC '25 and OSDI '25: ...

OSDI brings together professionals from academic and industrial backgrounds in what has become a premier forum for discussing the design, implementation, and implications of systems software. The ...

The 22nd USENIX Symposium on Networked Systems Design and Implementation (NSDI '25) will take place April 28–30, 2025, at the Philadelphia Marriott Downtown in Philadelphia, PA, USA. NSDI focuses on ...

Transferability captures the ability of an attack against a machine-learning model to be effective against a different, potentially unknown, model. Empirical evidence for transferability has been ...

Cyber attacks against IoT devices are a severe threat. These attacks exploit software vulnerabilities in IoT firmware. Fuzzing is an effective software testing technique for finding these ...

Machine learning (ML) has progressed rapidly during the past decade and the major factor that drives such development is the unprecedented large-scale data. As data generation is a continuous process, ...

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 ...

There is an increasing need to bring machine learning to a wide diversity of hardware devices. Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of ...

Recently, directed grey-box fuzzing (DGF) becomes popular in the field of software testing. Different from coverage-based fuzzing whose goal is to increase code coverage for triggering more bugs, DGF ...