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LLMs Alignment and Safety
LLMs, NLP, Adversarial Stimuli, EEG, BCI
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SAIL Lab, University of New Haven
- @upadhayay_bibek
- https://scholar.google.com/citations?user=lo-RWCgAAAAJ&hl=en
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UNHSAILLab/working-memory-attack-on-llms
UNHSAILLab/working-memory-attack-on-llms PublicWorking Memory Attack on LLMs
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UNHSAILLab/TaCo
UNHSAILLab/TaCo PublicTaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
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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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