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Working on Multilingual LLMs and Their Safety.
LLMs, NLP, Adversarial Stimuli, EEG, BCI
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SAIL Lab, University of New Haven
- @upadhayay_bibek
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UNHSAILLab/cognitive-overload-attack
UNHSAILLab/cognitive-overload-attack Publiccognitive-overload-attack
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UNHSAILLab/SentimentalLIAR
UNHSAILLab/SentimentalLIAR PublicOur Sentimental LIAR dataset is a modified and further extended version of the LIAR extension introduced by Kirilin et al. In our dataset, the multi-class labeling of LIAR is converted to a binary …
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MalConv-Deep-learning-for-PE-malware-classification
MalConv-Deep-learning-for-PE-malware-classification Public -
UNHSAILLab/Adversary-Engagement-Ontology
UNHSAILLab/Adversary-Engagement-Ontology PublicThe adversary engagement ontology for expressing all things cyber denial, deception, and operational narratives.
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