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76 results found

Trojan Detection Software Challenge - image-classification-aug2020-holdout

Data provided by  National Institute of Standards and Technology

Round 2 Holdout DatasetThe data being generated and disseminated is the holdout data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). 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: 2024-02-22

Views: 0

Trojan Detection Software Challenge - image-classification-dec2020-test

Data provided by  National Institute of Standards and Technology

Round 3 Test DatasetThe data being generated and disseminated is the training 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: 2024-02-22

Views: 0

Trojan Detection Software Challenge - image-classification-dec2020-holdout

Data provided by  National Institute of Standards and Technology

Round 3 Holdout DatasetThe data being generated and disseminated is the training 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: 2024-02-22

Views: 0

Trojan Detection Software Challenge - image-classification-feb2021-train

Data provided by  National Institute of Standards and Technology

Round 4 Train DatasetThe data being generated and disseminated is the training 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: 2024-02-22

Views: 0

Trojan Detection Software Challenge - image-classification-feb2021-test

Data provided by  National Institute of Standards and Technology

Round 4 Test DatasetThe data being generated and disseminated is the test 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: 2024-02-22

Views: 0

Trojan Detection Software Challenge - image-classification-feb2021-holdout

Data provided by  National Institute of Standards and Technology

Round 4 Holdout DatasetThe 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: 2024-02-22

Views: 0

Trojan Detection Software Challenge - nlp-sentiment-classification-mar2021-train

Data provided by  National Institute of Standards and Technology

Round 5 Train DatasetThe 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: 2024-02-22

Views: 0

Almanac API - Parameters

Data provided by  National Telecommunications and Information Administration

Almanac API - Ranking by Geography ID within the Nation

Tags: ARRA,Broadband,Broadband Data Improvement Act,Community Anchor Institutions,FCC,Federal Communications Commission,NSGIC,NTIA,National Broadband Map,National Telecomunications and Information Administration,SBDD,State Broadband Data and Development Program,State Broadband Initiative,gov20,opengov,

Modified: 2024-06-08

Views: 0

Almanac API - Ranking by Geography ID within a State

Data provided by  National Telecommunications and Information Administration

This API is designed to find the rankings by geography within the state for a specific metric (population or household) and rank (any of the metrics from provider, demographic, technology or speed). The results are the top ten and bottom ten records within the state for the particular geography type and my area rankings. Additionally we include +/- 5 rankings from the 'my' area rank.

Tags: ARRA,Broadband,Broadband Data Improvement Act,Community Anchor Institutions,FCC,NSGIC,NTIA,National Broadband Map,State Broadband Data and Development grant Program,State Broadband Initiative,gov20,opengov,

Modified: 2024-06-08

Views: 0

Almanac API - Ranking by Geography ID within the Nation

Data provided by  National Telecommunications and Information Administration

This API is designed to find the rankings by any geography ID within the nation with a specific census metric (population or household) and ranking metric (any of the metrics from provider, demographic, technology or speed). The results are the top ten and bottom ten rankings within the nation for the particular geography type and my area rankings include +/- 5 rankings from the my area rank.

Tags: ARRA,Broadband,Broadband Data Improvement Act,Community Anchor Institutions,FCC,NSGIC,NTIA,National Broadband Map,State Broadband Data and Development grant Program,State Broadband Initiative,gov20,opengov,

Modified: 2024-06-08

Views: 0