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Found 5 papers, 0 papers with code
OffLanDat: A Community Based Implicit Offensive Language Dataset Generated by Large Language Model Through Prompt Engineering
Firstly, the existing datasets primarily rely on the collection of texts containing explicit offensive keywords, making it challenging to capture implicitly offensive contents that are devoid of these keywords.
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Image classification is a common step in image recognition for machine learning in overhead applications.
Local Translation Services for Neglected Languages
Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages.
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing
With the process in this paper, a structured set of input probes and the output of the model become the training data for a deep classifier.
Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models
This work proposes a structured approach to baselining a model, identifying attack vectors, and securing the machine learning models after deployment.
