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1
Can pre-trained Transformers be used in detecting complex sensitive sentences? -- A Monsanto case study ...
Abstract: Each and every organisation releases information in a variety of forms ranging from annual reports to legal proceedings. Such documents may contain sensitive information and releasing them openly may lead to the leakage of confidential information. Detection of sentences that contain sensitive information in documents can help organisations prevent the leakage of valuable confidential information. This is especially challenging when such sentences contain a substantial amount of information or are paraphrased versions of known sensitive content. Current approaches to sensitive information detection in such complex settings are based on keyword-based approaches or standard machine learning models. In this paper, we wish to explore whether pre-trained transformer models are well suited to detect complex sensitive information. Pre-trained transformers are typically trained on an enormous amount of text and therefore readily learn grammar, structure and other linguistic features, making them particularly ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://arxiv.org/abs/2203.06793
https://dx.doi.org/10.48550/arxiv.2203.06793
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2
TSM: Measuring the Enticement of Honeyfiles with Natural Language Processing
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3
The importance of social identity on password formulations [<Journal>]
Grobler, Marthie [Verfasser]; Chamikara, M. A. P. [Verfasser]; Abbott, Jacob [Verfasser].
DNB Subject Category Language
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4
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains ...
Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2020
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5
Assessing Social License to Operate from the Public Discourse on Social Media ...
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6
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks ...
Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2019
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7
Catering to your concerns: Automatic generation of personalised security-centric descriptions for Android apps
In: ACM Transactions on Cyber-Physical Systems, Vol. 3, no. 4 (Sep 2019), article no. 36 (2019)
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8
Cross-Target Stance Classification with Self-Attention Networks ...
Xu, Chang; Paris, Cecile; Nepal, Surya. - : arXiv, 2018
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9
Catering to Your Concerns: Automatic Generation of Personalised Security-Centric Descriptions for Android Apps ...
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10
Incorporating tweet relationships into topic derivation
Nugroho, Robertus; Molla-Aliod, Diego; Yang, Jian. - : Singapore : Springer, 2016
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