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Found 5 papers, 0 papers with code
Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
The emergence of online services in our daily lives has been accompanied by a range of malicious attempts to trick individuals into performing undesired actions, often to the benefit of the adversary.
A semi-supervised approach to message stance classification
Social media communications are becoming increasingly prevalent; some useful, some false, whether unwittingly or maliciously.
Nonsense Attacks on Google Assistant
This paper presents a novel attack on voice-controlled digital assistants using nonsensical word sequences.
Cryptography and Security
Using semantic clustering to support situation awareness on Twitter: The case of World Views
The novelty and value of SVOSSTC is its emphasis on utilising the Subject-Verb-Object (SVO) typology in order to construct semantically consistent world views, in which individuals---particularly those involved in crisis response---might achieve an enhanced picture of a situation from social media data.
Determining the Veracity of Rumours on Twitter
For our work, we collected about 100 million public tweets, including users' past tweets, from which we identified 72 rumours (41 true, 31 false).
