Abstract: A data processing system implements obtaining user prompts s that include instructions to an AI application to perform one or more tasks; storing the user prompts in a prompts datastore in a secure computing environment; analyzing the user prompts using an LLM operating within the secure computing environment to generate normalized prompts based on the user prompts; extracting first n-grams from the normalized prompts using differentially private n-gram extraction that preserves user-level privacy; generating masked normalized prompts by comparing the normalized prompts with the first n-grams and replacing, with a placeholder n-gram, n-grams of the normalized prompts that do not match an n-gram of the first n-grams; extracting second n-grams from the masked normalized prompts using the differentially private n-gram extraction that preserves user-level privacy; outputting the second n-grams from the secure computing environment; and storing the second n-grams in an anonymized prompts datastore outside of the s

Abstract: Methods and systems are provided for managing particulate emissions in an engine including a particulate filter and a CO2 sensor downstream of the filter. A CO2 sensor may be used to infer the presence of particulate matter in the exhaust, downstream of the filter. By sensing particulate matter in the post-filter exhaust, filter degradation may be identified.

Abstract: Methods and systems are provided for managing particulate emissions in an engine including a particulate filter and a CO2 sensor downstream of the filter. A CO2 sensor may be used to infer the presence of particulate matter in the exhaust, downstream of the filter. By sensing particulate matter in the post-filter exhaust, filter degradation may be identified.

Abstract: Methods and systems are provided for managing particulate emissions in an engine including a particulate filter and a CO2 sensor downstream of the filter. A CO2 sensor may be used to infer the presence of particulate matter in the exhaust, downstream of the filter. By sensing particulate matter in the post-filter exhaust, filter degradation may be identified.

Abstract: Methods and systems are provided for managing particulate emissions in an engine including a particulate filter and a CO2 sensor downstream of the filter. A CO2 sensor may be used to infer the presence of particulate matter in the exhaust, downstream of the filter. By sensing particulate matter in the post-filter exhaust, filter degradation may be identified.

Abstract: Methods and systems are provided for managing particulate emissions in an engine including a particulate filter and a CO2 sensor downstream of the filter. A CO2 sensor may be used to infer the presence of particulate matter in the exhaust, downstream of the filter. By sensing particulate matter in the post-filter exhaust, filter degradation may be identified.

Abstract: Methods and systems are provided for managing particulate emissions in an engine including a particulate filter and a CO2 sensor downstream of the filter. A CO2 sensor may be used to infer the presence of particulate matter in the exhaust, downstream of the filter. By sensing particulate matter in the post-filter exhaust, filter degradation may be identified.