GroundAI

@tk.tu

Jan 17, 2018

Cryptography and Security

Despite years of intensive research in the field of software vulnerabilities discovery, exploits are becoming ever more common. Consequently, it is m…

Nov 29, 2019

Artificial Intelligence

Machine Learning

In this paper, we propose DeepAlign, a novel approach to multi-perspective process anomaly correction, based on recurrent neural networks and bidirec…

Mar 03, 2018

Artificial Intelligence

Businesses are naturally interested in detecting anomalies in their internal processes, because these can be indicators for fraud and inefficiencies.…

May 09, 2019

Cryptography and Security

Sophisticated mass attacks, especially when exploiting zero-day vulnerabilities, have the potential to cause destructive damage to organizations and …

Feb 08, 2019

Artificial Intelligence

In this paper, we introduce BINet, a neural network architecture for real-time multi-perspective anomaly detection in business process event logs. BI…

@tk.tu

M-STAR: A Modular, Evidence-based Software Trustworthiness Framework

DeepAlign: Alignment-based Process Anomaly Correction using Recurrent…

Analyzing Business Process Anomalies Using Autoencoders

TRIDEnT: Building Decentralized Incentives for Collaborative Security

BINet: Multi-perspective Business Process Anomaly Classification

@tk.tu

M-STAR: A Modular, Evidence-based Software Trustworthiness Framework

DeepAlign: Alignment-based Process Anomaly Correction using Recurrent…

Analyzing Business Process Anomalies Using Autoencoders

TRIDEnT: Building Decentralized Incentives for Collaborative Security

BINet: Multi-perspective Business Process Anomaly Classification

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