In the first phase of this project, an ad hoc committee will review a test and analysis plan prepared by DOT and comment in a letter report on whether the proposed tests will provide objective, ...
DynPen: Automated Penetration Testing in Dynamic Network Scenarios Using Deep Reinforcement Learning
Abstract: Penetration testing, a crucial industrial practice for securing networked systems and infrastructures, has traditionally depended on the extensive expertise of human professionals.
[CVPR2025] The source code of "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary". Abstract: Out-of-distribution (OOD) detection remains challenging for deep learning models, ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
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