Matthew Weeks
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View article: Zero Day Threat Detection Using Metric Learning Autoencoders
Zero Day Threat Detection Using Metric Learning Autoencoders Open
The proliferation of zero-day threats (ZDTs) to companies' networks has been immensely costly and requires novel methods to scan traffic for malicious behavior at massive scale. The diverse nature of normal behavior along with the huge lan…
View article: Lateral Movement Detection Using User Behavioral Analysis
Lateral Movement Detection Using User Behavioral Analysis Open
Lateral Movement refers to methods by which threat actors gain initial access to a network and then progressively move through said network collecting key data about assets until they reach the ultimate target of their attack. Lateral Move…
View article: Intersectional implicit bias: Evidence for asymmetrically compounding bias and the predominance of target gender.
Intersectional implicit bias: Evidence for asymmetrically compounding bias and the predominance of target gender. Open
Little is known about implicit evaluations of complex, multiply categorizable social targets. Across five studies (N = 5,204), we investigated implicit evaluations of targets varying in race, gender, social class, and age. Overall, the lar…
View article: Zero Day Threat Detection Using Graph and Flow Based Security Telemetry
Zero Day Threat Detection Using Graph and Flow Based Security Telemetry Open
Zero Day Threats (ZDT) are novel methods used by malicious actors to attack and exploit information technology (IT) networks or infrastructure. In the past few years, the number of these threats has been increasing at an alarming rate and …
View article: Intersectional Implicit Bias: Evidence for Asymmetrically Compounding Bias and The Predominance of Target Gender
Intersectional Implicit Bias: Evidence for Asymmetrically Compounding Bias and The Predominance of Target Gender Open
Little is known about implicit evaluations of complex, multiply categorizable social targets. Across five studies (N = 5,204), we investigated implicit evaluations of targets varying in race, gender, social class, and age. Overall, the lar…