BENGAL
Research into methods for characterizing and mitigating threat modes in large language models, including unsupported outputs, sensitive-information aggregation, and poisoned information sources.
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Research into methods for characterizing and mitigating threat modes in large language models, including unsupported outputs, sensitive-information aggregation, and poisoned information sources.
Research on human-interpretable authorship attribution across languages and genres, paired with techniques that help authors understand or reduce identifying linguistic signals.
Research intended to help systems recognize and interpret newly coined slang, jargon, codewords, euphemisms, and undefined acronyms in unfamiliar text.
Research involving large-scale modeling of human movement, generation of realistic synthetic movement data, and detection of anomalous trajectories while accounting for privacy concerns.
Research on reconstructing navigable three-dimensional site models from limited imagery collected from differing viewpoints and altitudes.
Research on geolocating multimedia by combining visual and audio evidence when obvious location metadata is absent.
Research on linking objects and activities across video captured by multiple non-collaborative cameras, including difficult viewpoint, timing, and appearance changes.
Research on biometric recognition and identification at long range and from elevated or otherwise difficult viewpoints, including face, body, and gait information.
Research on microelectronic approaches that make artificial-intelligence and machine-learning capabilities more efficient for constrained edge devices and smart sensors.
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