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Using deep learning to solve computer security challenges: a survey [PDF]

open access: yesCybersecurity, 2020
Although using machine learning techniques to solve computer security challenges is not a new idea, the rapidly emerging Deep Learning technology has recently triggered a substantial amount of interests in the computer security community.
Yoon-Ho Choi   +7 more
doaj   +4 more sources

Computer Security Incident Response Team Effectiveness: A Needs Assessment. [PDF]

open access: yesFront Psychol, 2017
Computer security incident response teams (CSIRTs) respond to a computer security incident when the need arises. Failure of these teams can have far-reaching effects for the economy and national security.
Van der Kleij R, Kleinhuis G, Young H.
europepmc   +2 more sources

COMPUTER SECURITY AND SECURITY TECHNOLOGIES [PDF]

open access: yesJournal of Process Management and New Technologies, 2013
With the increasing development of computer and communications technology growth and increasing needs and development of information systems security. The problem of security must be approached with greater caution.
Lazar Stošić, Dragan Veličković
doaj   +3 more sources

Ethical Frameworks and Computer Security Trolley Problems: Foundations for Conversations [PDF]

open access: yesUSENIX Security Symposium, 2023
The computer security research community regularly tackles ethical questions. The field of ethics / moral philosophy has for centuries considered what it means to be"morally good"or at least"morally allowed / acceptable". Among philosophy's contributions
T. Kohno, Y. Acar, Wulf Loh
semanticscholar   +1 more source

SoK: Explainable Machine Learning for Computer Security Applications [PDF]

open access: yesEuropean Symposium on Security and Privacy, 2022
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine learning (ML) pipelines. We systematize the increasingly growing (but fragmented) microcosm of studies that develop and utilize XAI methods for defensive and offensive ...
A. Nadeem   +6 more
semanticscholar   +1 more source

UNSW‐NB15 computer security dataset: Analysis through visualization [PDF]

open access: yesSecurity and Privacy, 2021
Class imbalance refers to a major issue in data mining where data with unequal class distribution can deteriorate classification performance. Although it alone affects the performance of the classifiers, the joint‐effect of class imbalance and overlap is
Zeinab Zoghi, G. Serpen
semanticscholar   +1 more source

Exploiting Programmatic Behavior of LLMs: Dual-Use Through Standard Security Attacks [PDF]

open access: yes2024 IEEE Security and Privacy Workshops (SPW), 2023
Recent advances in instruction-following large language models (LLMs) have led to dramatic improvements in a range of NLP tasks. Unfortunately, we find that the same improved capabilities amplify the dual-use risks for malicious purposes of these models.
Daniel Kang   +5 more
semanticscholar   +1 more source

Neural network based single index evaluation for SQL injection attack detection in health care data

open access: yesMeasurement: Sensors, 2023
In recent years, there are a lot of security risks in the network, and there is the combination intersection between the computer network security problems and security evaluation.
N. Nagabhooshanam   +4 more
doaj   +1 more source

Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions [PDF]

open access: yesIEEE Symposium on Security and Privacy, 2021
There is burgeoning interest in designing AI-based systems to assist humans in designing computing systems, including tools that automatically generate computer code.
H. Pearce   +4 more
semanticscholar   +1 more source

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