Abstract: Example systems and methods for biometric authentication that can bridge fuzzy extractors with deep learning and achieve the goals of preserving privacy and providing recoverability from zero are disclosed. Embeddings comprising a face or speaker embedding in a non-Hamming distance space can be processed to create a personal reliable bit map and a reliable locality-sensitive hash (LSH) for mapping the non-Hamming distance space to a Hamming distance space. A fuzzy extractor can be applied to create metadata that can be stored on a computing device. A secret can be recovered from the metadata and can be used for identification.

Abstract: An exemplary system and method are disclosed that provide the private querying of a biometric scan, such as a person's photo, against a private database such that the client issuing the private query learns only the identity of the query if it is in the database while the server performing the processing learns nothing of the biometric scan. The exemplary system and method conduct privacy-preserving searches over fuzzy databases via a fuzzy labeled set intersection (FLPSI) protocol. FLPSI protocol computes an intersection of noisy input sets to assess for closeness/similarity metrics in an efficient and optimized search.

Abstract: Example systems and methods for defending against powerful, automated attacks on facial authentication systems are disclosed. A first verification is performed based at least in part on determining a response time for a response to a CAPTCHA or other challenge. In response to determining that the response time is within a threshold, a second verification is performed based at least in part on extracting a face feature or a voice feature from a plurality of samples associated with the response.

Abstract: Example systems and methods for biometric authentication that can bridge fuzzy extractors with deep learning and achieve the goals of preserving privacy and providing recoverability from zero are disclosed. Embeddings comprising a face or speaker embedding in a non-Hamming distance space can be processed to create a personal reliable bit map and a reliable locality-sensitive hash (LSH) for mapping the non-Hamming distance space to a Hamming distance space. A fuzzy extractor can be applied to create metadata that can be stored on a computing device. A secret can be recovered from the metadata and can be used for identification.

Abstract: Example systems and methods for biometric authentication that can bridge fuzzy extractors with deep learning and achieve the goals of preserving privacy and providing recoverability from zero are disclosed. Embeddings comprising a face or speaker embedding in a non-Hamming distance space can be processed to create a personal reliable bit map and a reliable locality-sensitive hash (LSH) for mapping the non-Hamming distance space to a Hamming distance space. A fuzzy extractor can be applied to create metadata that can be stored on a computing device. A secret can be recovered from the metadata and can be used for identification.

Abstract: A film forming composition comprises a film forming component and a solvent, wherein the film forming component comprises 0-50 wt % of a first water soluble polymer, 0.3-40 wt % of a second water soluble polymer, 0-15 wt % of plasticizer and 50-70 wt % of active ingredient. The first and second water soluble polymers have a Tg of ?52° C. to 216° C., and difference of Tg values of the first and second water soluble polymer is 62-268° C. The film formed by the film forming composition capable to load high content of active ingredient and lead to fast absorption of active ingredient is provided.

Abstract: Example systems and methods for biometric authentication that can bridge fuzzy extractors with deep learning and achieve the goals of preserving privacy and providing recoverability from zero are disclosed. Embeddings comprising a face or speaker embedding in a non-Hamming distance space can be processed to create a personal reliable bit map and a reliable locality-sensitive hash (LSH) for mapping the non-Hamming distance space to a Hamming distance space. A fuzzy extractor can be applied to create metadata that can be stored on a computing device. A secret can be recovered from the metadata and can be used for identification.

Abstract: A film forming composition comprises a film forming component and a solvent, wherein the film forming component comprises 0-50 wt % of a first water soluble polymer, 0.3-40 wt % of a second water soluble polymer, 0-15 wt % of plasticizer and 50-70 wt % of active ingredient. The first and second water soluble polymers have a Tg of ?52° C. to 216° C., and difference of Tg values of the first and second water soluble polymer is 62-268° C. The film formed by the film forming composition capable to load high content of active ingredient and lead to fast absorption of active ingredient is provided.

Abstract: Example systems and methods for defending against powerful, automated attacks on facial authentication systems are disclosed. A first verification is performed based at least in part on determining a response time for a response to a CAPTCHA or other challenge. In response to determining that the response time is within a threshold, a second verification is performed based at least in part on extracting a face feature or a voice feature from a plurality of samples associated with the response.

Abstract: Aspects of the disclosed technology include a method including identifying, by a computer device, a message; encoding, by the computer device, the message; receiving, by the computer device, a video of a user reciting the encoded message; and providing, by the computer device, the message and the video for verification an authenticity of the message.

Abstract: Construction of factor risk models that better predict the future volatility of returns of a portfolio of securities such as stocks, bonds, or the like is addressed. More specifically, improved factor-factor covariance estimation is made even when the covariances change rapidly over time. Methods and techniques for achieving better accuracy, responsiveness, and stability of factor risk models are addressed.

Abstract: Aspects of the disclosed technology include a method including identifying, by a computer device, a message; encoding, by the computer device, the message; receiving, by the computer device, a video of a user reciting the encoded message; and providing, by the computer device, the message and the video for verification an authenticity of the message.

Abstract: The disclosed technology includes techniques for improving data privacy in mobile communications over public cloud services. According to certain implementations, a novel conceptual layer may be interposed between the “application” layer and the “user” layer. In some implementations, the conceptual layer may be at least partially embodied by a transparent window or pane overlaid on top of existing app graphical user interfaces to: (1) intercept plaintext user input before transforming the input and feeding it to an underlying app; and (2) reverse transform output data from the app before displaying the plaintext data to the user. Accordingly, the conceptual layer may serve as a protective layer while preserving the original application workflow and look-and-feel.

Abstract: On the basis of simulated backtests, many portfolios including so-called smart beta and other factor products often boast impressive track records. However, given the additional trading that occurs, can such advertised performance truly be realized once transaction costs are taken into account? One might expect these products to make a concerted effort to manage liquidity. However, explicit efforts to manage liquidity in existing smart beta and factor ETF and index products have been relatively modest. A new set of rules are provided that are independent of the notional value of the portfolio that can be used to better manage the liquidity of investment portfolio.

Abstract: A plant extract comprising one or more statins and being substantially free of polar compounds that affect pharmacokinetics of a drug in a subject is provided. Also provided is a method of preparing an extract comprising the step of removing polar compounds that affect pharmacokinetics of a drug in a subject from a plant material containing one or more statins.

Abstract: The disclosed technology includes techniques for improving data privacy in mobile communications over public cloud services. According to certain implementations, a novel conceptual layer may be interposed between the “application” layer and the “user” layer. In some implementations, the conceptual layer may be at least partially embodied by a transparent window or pane overlaid on top of existing app graphical user interfaces to: (1) intercept plaintext user input before transforming the input and feeding it to an underlying app; and (2) reverse transform output data from the app before displaying the plaintext data to the user. Accordingly, the conceptual layer may serve as a protective layer while preserving the original application workflow and look-and-feel.

Abstract: Construction of factor risk models that better predict the future volatility of returns of a portfolio of securities such as stocks, bonds, or the like is addressed. More specifically, improved factor-factor covariance estimation is made even when the covariances change rapidly over time. Methods and techniques for achieving better accuracy, responsiveness, and stability of factor risk models are addressed.

Abstract: Construction of factor risk models that better predict the future volatility of returns of a portfolio of securities such as stocks, bonds, or the like is addressed. More specifically, improved factor-factor covariance estimation is made even when the covariances change rapidly over time. Methods and techniques for achieving better accuracy, responsiveness, and stability of factor risk models are addressed.

Abstract: Construction of factor risk models that better predict the future volatility of returns of a portfolio of securities such as stocks, bonds, or the like is addressed. More specifically, improved factor-factor covariance estimation is made even when the covariances change rapidly over time. Methods and techniques for achieving better accuracy, responsiveness, and stability of factor risk models are addressed.

Abstract: Until recently, risk models have been built using low frequency data, such as weekly or monthly data. This approach has resulted in a necessary compromise between model stability for which one needs a long history of data, and model responsiveness, for which, the shorter the history, the better. Stability plus responsiveness can be achieved if one uses daily data, which allows for a large number of observations to be used in model estimation without using long out-of-date data. Daily data have other problems, however, as the differing closing times of markets worldwide may induce spurious relationships across model factors. In particular, correlations between markets may appear lower than they truly are due to a market lag effect. To address such issues, a stable, daily data-based factor risk model is described which takes account of the differing market closing times and corrects the model factor correlations and specific returns accordingly.