Detecting and Explaining Anomalies Caused by Web Tamper Attacks via Building Consistency-based Normality

1 code implementation • ASE 2024 • Yifan Liao, Ming Xu, Yun Lin, Xiwen Teoh, Xiaofei Xie, Ruitao Feng, Frank Liaw, Hongyu Zhang, Jin Song Dong

Web applications are crucial infrastructures in the modern society, which have high demand of reliability and security.

ART: The Alternating Reading Task Corpus for Speech Entrainment and Imitation

no code implementations • 3 Apr 2024 • Zheng Yuan, Dorina De Jong, Štefan Beňuš, Noël Nguyen, Ruitao Feng, Róbert Sabo, Luciano Fadiga, Alessandro D`Ausilio

We introduce the Alternating Reading Task (ART) Corpus, a collection of dyadic sentence reading for studying the entrainment and imitation behaviour in speech communication.

Sentence

Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors

1 code implementation • 5 Jan 2024 • Baijun Cheng, Shengming Zhao, Kailong Wang, Meizhen Wang, Guangdong Bai, Ruitao Feng, Yao Guo, Lei Ma, Haoyu Wang

Vulnerability detectors based on deep learning (DL) models have proven their effectiveness in recent years.

Decision Making

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

no code implementations • 13 Nov 2018 • Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li

Up to the present, it still lacks a comprehensive study on how current diverse DL frameworks and platforms influence the DL software development process.

Autonomous Driving Deep Learning