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07/25/2023
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly a...
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06/12/2023
A Practical Entity Linking System for Tables in Scientific Literature
Entity linking is an important step towards constructing knowledge graph...
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08/02/2022
CAPD: A Context-Aware, Policy-Driven Framework for Secure and Resilient IoBT Operations
The Internet of Battlefield Things (IoBT) will advance the operational e...
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08/02/2022
Recognizing and Extracting Cybersecurtity-relevant Entities from Text
Cyber Threat Intelligence (CTI) is information describing threat vectors...
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02/08/2021
Generating Fake Cyber Threat Intelligence Using Transformer-Based Models
Cyber-defense systems are being developed to automatically ingest Cyber ...
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06/01/2020
Independent Component Analysis for Trustworthy Cyberspace during High Impact Events: An Application to Covid-19
Social media has become an important communication channel during high i...
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02/20/2020
NAttack! Adversarial Attacks to bypass a GAN based classifier trained to detect Network intrusion
With the recent developments in artificial intelligence and machine lear...
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08/16/2019
Named Entity Recognition for Nepali Language
Named Entity Recognition have been studied for different languages like ...
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05/07/2019
RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement
Security Analysts that work in a `Security Operations Center' (SoC) play...
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05/07/2019
Cyber-All-Intel: An AI for Security related Threat Intelligence
Keeping up with threat intelligence is a must for a security analyst tod...
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11/14/2018
Phishing in an Academic Community: A Study of User Susceptibility and Behavior
We present an observational study on the relationship between demographi...
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08/09/2018
Mining Threat Intelligence about Open-Source Projects and Libraries from Code Repository Issues and Bug Reports
Open-Source Projects and Libraries are being used in software developmen...
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08/01/2018
Cognitive Techniques for Early Detection of Cybersecurity Events
The early detection of cybersecurity events such as attacks is challengi...
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07/19/2018
Using Deep Neural Networks to Translate Multi-lingual Threat Intelligence
The multilingual nature of the Internet increases complications in the c...
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07/19/2018
Preventing Poisoning Attacks on AI based Threat Intelligence Systems
As AI systems become more ubiquitous, securing them becomes an emerging ...
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08/10/2017
Thinking, Fast and Slow: Combining Vector Spaces and Knowledge Graphs
Knowledge graphs and vector space models are robust knowledge representa...
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12/25/2015
