Round 10 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of object detection AIs trained on the COCO dataset. 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. This dataset consists of 144 AI models using a small set of model architectures.

Round rl-lavaworld-jul2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid environment. 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.

nlp-question-answering-aug2023-trainThis is the train data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform extractive question answering 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.

Round rl-randomized-lavaworld-aug2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid environment. 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.

This database allows the public to browse and search recent FTZ Board manufacturing approvals.

Monthly and annual Canadian arrivals of one or more nights to the U.S. are provided by Statistics Canada for analysis and reporting. A limited amount of U.S. resident travel to Canada is also reported at a monthly level. Monthly level data are reported by mode of transportation with a 3-4 month lag time. Annual data are made available to Tourism Industries at the end of May and a written report with graphics and spreadsheets is generally available in the late summer. The annual report analyzes travelers by province of origin, season of travel, mode of transportation, etc.

An econometric-based forecast of tourism arrivals to the U.S. from more than 20 primary and secondary international markets. Provides forecasted arrivals for a 3 year horizon. Outbound international travel is forecast or reported for Mexico, Canada and overseas travel only.

Monthly international visitation data are collected and reported by the National Travel and Tourism Office's (NTTO) Visitor Arrivals Program (I-94 Record).

This program provides information on U.S. travel and tourism receipts (exports), payments (imports), and the balance of trade for major world regions and select countries. The National Travel and Tourism Office (NTTO) obtains these data from the Bureau of Economic Analysis (BEA) and publishes preliminary data in March, revised data in June, and final annual data in October.

The National Travel and Tourism Office (NTTO) works cooperatively with the U.S. Department of Homeland Security (DHS)/U.S. Customs and Border Protection (CBP)to release arrivals data, providing a comprehensive count of all travelers entering the United States.