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.

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-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.

This dataset represents the results of calculations of atomic absorption spectra for the case of two-color EIT. We compare computation methods, specifically Gaussian sampling, to find that one sampling method converges to smooth transmittance curves in less time than the other. We also include some example scripts which generate and plot the figure data.

This dataset contains the data for the figures in the paper "EIT spectra of Rydberg atoms dressed with dual tone radio-frequency fields", submitted to Physical Review A. This dataset can be used to recreate the experimental and theory plots from the CSV files. The data show EIT spectra of Rydberg atoms driven with dual-tone RF fields (experimental), and Floquet spectra of numerical models that are used to model these EIT spectra (theory/numerical).

Round 13 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 both on synthetic image data build from Cityscapes and the DOTA_v2 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 128 AI models using a small set of model architectures.

Round 12 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of pdf malware classification AIs trained Contaigio dataset feature vectors. 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 120 AI models using a small set of model architectures.

Measurement of the effect of electric field inhomogeneity on electromagnetically induced transparency in a waveguide-based cesium atomic vapor cell. Used for the figure for the Photonics West 2023 manuscript.

Although Rydberg atom-based electric field sensing provides key advantages over traditional antenna-based detection, it remains limited by the need for a local oscillator (LO) for low-field and phase resolved detection. In this work, we demonstrate the general applicability of closed-loop quantum interferometric schemes for Rydberg field sensing, which eliminate the need for an LO. We reveal that the quantum-interferometrically defined phase and frequency of our scheme provides an internal reference that enables LO-free full 360 degree-resolved phase sensitivity.

This dataset represents absorption/transmission spectra of resonant probe light power through a Rydberg atom vapor, subject to a simultaneous dressing field and a 'low frequency' field. Data is taken as an oscilloscope average of 5 photodiode voltage traces, with frequency offsets given by a simultaneous reference cell (not included). Some data are given as 2-D arrays, with axes of laser detuning across a waterfall of field strength. Some data represents theory eigen-energies of the system, for comparison. This paper will be submitted to Physical Review Letters.