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 ...

Zian Jia and Yun Xiong, Shanghai Key Laboratory of Data Science, School of Computer Science, Fudan University, China; Yuhong Nan, School of Software Engineering, Sun Yat-sen University, China; Yao ...

Deep learning has proven to be promising for traffic fingerprinting that explores features of packet timing and sizes. Although well-known for automatic feature extraction, it is faced with a gap ...

@inproceedings {294504, author = {Meng Chen and Xiangyu Xu and Li Lu and Zhongjie Ba and Feng Lin and Kui Ren}, title = {Devil in the Room: Triggering Audio Backdoors in the Physical World}, ...

The 2025 USENIX Annual Technical Conference will take place on July 7–9, 2025, at the Sheraton Boston in Boston, MA, USA. USENIX ATC brings together leading systems researchers for the presentation of ...

Linux supports 3 scheduling policies: SCHED_FIFO, SCHED_RR, and SCHED_OTHER. SCHED_OTHER is the default universal time-sharing scheduler policy used by most processes; SCHED_FIFO and SCHED_RR are ...

LISA: Where systems engineering and operations professionals share real-world knowledge about designing, building, and maintaining the critical systems of our interconnected world. The LISA conference ...

VehicleSec aims to bring together an audience of university researchers, scientists, industry professionals, and government representatives to contribute new theories, technologies, and systems on any ...

24th USENIX Conference on File and Storage Technologies (FAST '26), February 24–26, 2026, Hyatt Regency Santa Clara, Santa Clara, CA, USA. FAST brings together storage-system researchers and ...

Meta has developed several streamlined workflows to enable developers to deploy purpose-limitation technology. Adoption of this technology can, however, often become challenging, both because of the ...

This talk explores how Large Language Models can enhance Data Minimization practices compared to traditional methods. Advanced contextual understanding can accelerate data classification across an ...

Zhiyuan Yu, Washington University in St. Louis; Xiaogeng Liu, University of Wisconsin, Madison; Shunning Liang, Washington University in St. Louis; Zach Cameron, John Burroughs School; Chaowei Xiao, ...