USENIX

AFL++ : Combining Incremental Steps of Fuzzing Research

In this paper, we present AFL++, a community-driven open-source tool that incorporates state-of-the-art fuzzing research, to make the research comparable, reproducible, combinable and - most ...
USENIX

Reexamining Direct Cache Access to Optimize I/O Intensive Applications for Multi-hundred-gigabit Networks

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 ...
USENIX

My ZIP isn't your ZIP: Identifying and Exploiting Semantic Gaps Between ZIP Parsers

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 ...
USENIX

SLUBStick: Arbitrary Memory Writes through Practical Software Cross-Cache Attacks within the Linux Kernel

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 ...
USENIX

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 ...
USENIX

Not Quite Write: On the Effectiveness of Store-Only Bounds Checking

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 ...
USENIX

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 ...
USENIX

Practical Byzantine Fault Tolerance

This paper describes a new replication algorithm that is able to tolerate Byzantine faults. We believe that Byzantine-fault-tolerant algorithms will be increasingly important in the future because ...
USENIX

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 ...
USENIX

Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning

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 ...
USENIX

Poison Over Troubled Forwarders: A Cache Poisoning Attack Targeting DNS Forwarding Devices

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 ...
USENIX

Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models

Assaf Eisenman, Kiran Kumar Matam, Steven Ingram, Dheevatsa Mudigere, Raghuraman Krishnamoorthi, Krishnakumar Nair, and Misha Smelyanskiy, Facebook; Murali Annavaram, Facebook and USC ...