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5884 results found

Trojan Detection Software Challenge - Round 4 Holdout Dataset

Data provided by  National Institute of Standards and Technology

The data being generated and disseminated is the holdout data used to construct trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform image classification. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,

Modified: 2022-07-29

Views: 0

Trojan Detection Software Challenge - Round 5 Train Dataset

Data provided by  National Institute of Standards and Technology

The data being generated and disseminated is the train data used to construct trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform text sentiment classification on English text. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,

Modified: 2022-07-29

Views: 0

NIST-LANL Lanthanide Opacity Database

Data provided by  National Institute of Standards and Technology

The database contains radiative line-binned opacities for lanthanides (atomic number 57

Tags: kilonova,lanthanides,opacity,radiation,neutron star merger,atomic physics,

Modified: 2022-07-29

Views: 0

Sample code and data for "Accurate localization microscopy by intrinsic aberration calibration"

Data provided by  National Institute of Standards and Technology

Sample data and code for "Accurate localization microscopy by intrinsic aberration calibration", Craig R. Copeland, Craig D. McGray, B. Robert Ilic, Jon Geist, and Samuel M. Stavis, Nature Communications X, Y (2021). For use in MATLAB.

Tags: localization,microscopy,particle tracking,intrinsic aberration,MEMS,

Modified: 2022-07-29

Views: 0

Baseline Deep Learning Detectors for Radar Detection in the 3.5 GHz CBRS Band

Data provided by  National Institute of Standards and Technology

This project aims to create a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their detection performance using both simulated and experimental test data. The proposed tools and techniques are developed in the context of dynamic spectrum use for the 3.5 GHz Citizens Broadband Radio Service (CBRS), but they can be utilized and expanded for standardization of machine learned spectrum awareness technologies and methods.

Tags: 3.5 GHz; CBRS; radar; detection; deep learning; radio frequency signals; spectrum; MLSA,

Modified: 2022-07-29

Views: 0

Biospheric CO2 surface flux estimates from the Vegetation Photosynthesis & Respiration Model (VPRM) in the eastern USA and Canada: November 2016 to December 2020

Data provided by  National Institute of Standards and Technology

Monthly zip files from November 2016 to December 2020, with each zip containing hourly .tif files with gridded CO2 fluxes at 0.02 degree resolution in an eastern North American domain from 33 - 47 degrees north and 92 - 67 degrees west. For each hour, there is a file with Ecosystem Respiration fluxes, as well as a file for Gross Ecosystem Exchange during daytime hours only. To derive Net Ecosystem Exchange, respiration and GEE fluxes must be summed. Units are micromoles per m2*s after dividing original data by 1000.

Tags: Greenhouse gas measurements and models,urban greenhouse gas domes,biospheric CO2 fluxes,carbon cycle,biospheric models,

Modified: 2022-07-29

Views: 0

Evaluation of Timers Related to ProSe-based UE-to-Network Relays

Data provided by  National Institute of Standards and Technology

User Equipment (UE)-to-Network Relay functionality was introduced in Release 13 of the Third Generation Partnership Project (3GPP) Long Term Evolution (LTE) to extend and improve user connectivity. A UE connected to the network (relay UE) provides network access to another UE (remote UE) by establishing a direct one-to-one connection with it using the sidelink (SL) channels over the PC5 interface. The PC5 signaling is used for the establishment and maintenance of this direct connection, and different procedures and timers are linked to these processes.

Tags: public safety communication,device-to-device,D2D,wireless communication,

Modified: 2022-07-29

Views: 0

Trojan Detection Software Challenge - Round 5 Test Dataset

Data provided by  National Institute of Standards and Technology

This is the test data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform text sentiment classification on English text. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,

Modified: 2022-07-29

Views: 0

Trojan Detection Software Challenge - Round 5 Holdout Dataset

Data provided by  National Institute of Standards and Technology

This is the holdout data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform text sentiment classification on English text. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,

Modified: 2022-07-29

Views: 0

Trojan Detection Software Challenge - Round 6 Train Dataset

Data provided by  National Institute of Standards and Technology

This is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform text sentiment classification on English text. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,

Modified: 2022-07-29

Views: 0