Abstract: Aspects of the disclosure are directed to performing disaggregation-aware model graph partitioning, which can include provisioning and load balancing disaggregated resource pools, such as general purpose processors, accelerators, general purpose memory, and high bandwidth memory. Across these disaggregated resource pools, machine learning model operations can be packed and/or batched. The partitioning can further include automatically tuning runtime parameters.

Abstract: Search result poisoning attacks may be automatically detected by identifying groups of suspicious uniform resource locators (URLs) containing multiple keywords and exhibiting patterns that deviate from other URLs in the same domain without crawling and evaluating the actual contents of each web page. Suspicious websites are identified and lexical features are extracted for each such website. The websites are clustered based on their lexical features, and group analysis is performed on each group to identify at least one suspicious group. Other implementations are directed to detecting a search engine optimization (SEO) attack by processing a large population of URLs to identify suspicious URLs based on the presence of a subset of keywords in each URL and the relative newness of each URL.

Abstract: A privacy-preserving device-tracking system and method to assist in the recovery of lost or stolen Internet-connected mobile devices. The function of such a system seem contradictory, since it is desirable to hide a device's legitimately-visited locations from third-party services and other parties to achieve location privacy, while still enabling recovery of the device's location(s) after it goes missing by tracking the device to determine its location. An exemplary embodiment uses a DHT for storing encrypted location information and other forensic information in connection with indices that are successively determined based on initial pseudorandom seed information (i.e., state) that is retained by the owner of the device. Using the seed information, the software can determine indices mapped to location information stored after the device went missing, enabling the device to be located.

Abstract: Search result poisoning attacks may be automatically detected by identifying groups of suspicious uniform resource locators (URLs) containing multiple keywords and exhibiting patterns that deviate from other URLs in the same domain without crawling and evaluating the actual contents of each web page. Suspicious websites are identified and lexical features are extracted for each such website. The websites are clustered based on their lexical features, and group analysis is performed on each group to identify at least one suspicious group. Other implementations are directed to detecting a search engine optimization (SEO) attack by processing a large population of URLs to identify suspicious URLs based on the presence of a subset of keywords in each URL and the relative newness of each URL.

Abstract: The present invention pertains to the field of computer software. More specifically, the present invention relates to one or more of the definition, extraction, delivery, and hyper-linking of clips, for example web clips.

Abstract: Performance metrics between any two arbitrary end-hosts are predicted based upon previous measurements on the Internet between a plurality of geographically dispersed vantage points and clusters of end-hosts. Each cluster comprises end-hosts that are related based upon their IP address prefixes. In response to a central agent that stores the measured data for each of a plurality of predicted paths on the Internet, the vantage points use traceroute software to measure and periodically update performance metrics such as latency, bottleneck capacity, bandwidth, and packet loss rate for links comprising the predicted paths between the vantage points and one (or more) destination points associated with each cluster, and gather such data using distributed application systems. A user or client application can subsequently request predicted performance metrics for communication between specific end-hosts, based upon the previous measurement data.

Abstract: A privacy-preserving device-tracking system and method to assist in the recovery of lost or stolen Internet-connected mobile devices. The function of such a system seem contradictory, since it is desirable to hide a device's legitimately-visited locations from third-party services and other parties to achieve location privacy, while still enabling recovery of the device's location(s) after it goes missing by tracking the device to determine its location. An exemplary embodiment uses a DHT for storing encrypted location information and other forensic information in connection with indices that are successively determined based on initial pseudorandom seed information (i.e., state) that is retained by the owner of the device. Using the seed information, the software can determine indices mapped to location information stored after the device went missing, enabling the device to be located.

Abstract: The present invention pertains to the field of computer software. More specifically, the present invention relates to dynamic discovery of documents or information through a focused crawler or search engine.

Abstract: The present invention pertains to the field of computer software. More specifically, the present invention relates to one or more of the definition, extraction, delivery, and hyper-linking of clips, for example web clips.

Abstract: The present invention relates to a method and apparatus for extracting relevant data. A first and a second set of data are accessed. The first set includes selected data. An edit sequence is determined between the first and the second sets, including considering at least repetitions for inclusion in the edit sequence. Corresponding data of the second set have a correspondence to the selected data are found at least partly by determining the edit sequence. A first and a second tree of data are accessed. The first tree includes selected data. An edit sequence is determined between the first and the second trees, including considering at least repetitions for inclusion in the edit sequence. Corresponding data of the second tree have a correspondence to the selected data are found at least partly by determining the edit sequence.

Abstract: The present invention pertains to the field of computer software. More specifically, the present invention relates to dynamic discovery of documents or information through a focused crawler or search engine.