Abstract: Cyberbullying is one of the harmful activities on social networks that particularly affects the mental well-being of adolescents. Recent research has focused on session-based approaches to ...
Abstract: Anomaly detection in attribute networks is utilized to discover patterns of individuals or groups that deviate from the majority, and is widely used in areas such as e-commerce and social ...
Leaked API keys are nothing new, but the scale of the problem in front-end code has been largely a mystery - until now. Intruder’s research team built a new secrets detection method and scanned 5 ...
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