Abstract: The techniques disclosed herein enable systems to train machine learning models using benign augmentation to enabled resistance various data poisoning attacks. This is achieved by first training a machine learning model using an initial dataset that is trustworthy and originates from a known source. The initial dataset is then modified to include known attack triggers such as syntactic paraphrasing to generate an augmented dataset. The augmented dataset is then used to train a robust machine learning model based using the initially trained machine learning model. The resultant robust machine learning model is then enabled to detect and resist attacks captured by the augmented dataset. The robust machine learning model can be retrained using an untrusted dataset that includes various compromised inputs in conjunction with the augmented dataset. Retraining results in an updated robust machine learning model that can learn and resist various data poisoning attacks on the fly.

Abstract: The techniques disclosed herein enable systems to train machine learning models using benign augmentation to enabled resistance various data poisoning attacks. This is achieved by first training a machine learning model using an initial dataset that is trustworthy and originates from a known source. The initial dataset is then modified to include known attack triggers such as syntactic paraphrasing to generate an augmented dataset. The augmented dataset is then used to train a robust machine learning model based using the initially trained machine learning model. The resultant robust machine learning model is then enabled to detect and resist attacks captured by the augmented dataset. The robust machine learning model can be retrained using an untrusted dataset that includes various compromised inputs in conjunction with the augmented dataset. Retraining results in an updated robust machine learning model that can learn and resist various data poisoning attacks on the fly.

Abstract: Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session.

Abstract: Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session.

Abstract: Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session.

Abstract: Methods for configurable and proactive application diagnostics and recovery are performed by systems and devices. A diagnostics manager determines diagnostics packages corresponding to problems described in client device diagnostics requests. Session identifiers are generated and returned with diagnostics identifiers to clients which then provide the session identifiers and diagnostics identifiers to a service manager for session initiation. Diagnostics packages are located, retrieved, and provided back to the client by the service manager that invokes a client-side engine to execute diagnostics packages. Results are provided to the diagnostics system which determines additional packages to be executed by the engine during the same diagnostics session. Further, device-specific tokens are acquired by client devices which execute local diagnostic packages and acquire remote diagnostic packages for execution in the same session.

Abstract: A method, apparatus, and system for staggering time zones.

Abstract: In a method of allocating a shared resource among a plurality of competing applicants, a share of the resource allocated to one of the applicants is limited on the basis of a current proportion of the resource allocated to the applicant and a total of respective shares of the resource currently allocated to all of the applicants.

Abstract: A testing device uses an input signature register to conduct “at speed” testing of asynchronous circuit responses in an effort to determine the operability of a monitored circuit. Upon receiving an enable signal, the input signature register quickly measures, compresses, and transmits the tested circuit responses so that the responses can be compared with a set of anticipated responses to determine whether the circuit is functioning properly. The enabled input signature register, such as a MISR or a SISR, generates an output signature, which contains the compressed responses of the monitored circuit and helps the testing device analyze circuit performance.

Abstract: A method, apparatus, and system for staggering time zones.

Abstract: In a method of allocating a shared resource among a plurality of competing applicants, a share of the resource allocated to one of the applicants is limited on the basis of a current proportion of the resource allocated to the applicant and a total of respective shares of the resource currently allocated to all of the applicants.

Abstract: A method, apparatus, and system for maintaining an uncorrupted table.

Abstract: A method, apparatus, and system for limiting latency.

Abstract: An address lookup device provides information for a lookup value. A lookup value based on a network address in a received packet is received by a discriminant bits search device. A discriminant bits pattern is used to determine a location in an address lookup table based on the lookup value. The discriminant bits search device determines whether the lookup value is located in the location in the address lookup table. The discriminant bits search device outputs next hop information if the lookup value is located in the location in the address lookup table, and outputs default information if the lookup value is not located in the location in the address lookup table.

Abstract: A testing device uses an input signature register to conduct “at speed” testing of asynchronous circuit responses in an effort to determine the operability of a monitored circuit. Upon receiving an enable signal, the input signature register quickly measures, compresses, and transmits the tested circuit responses so that the responses can be compared with a set of anticipated responses to determine whether the circuit is functioning properly. The enabled input signature register, such as a MISR or a SISR, generates an output signature, which contains the compressed responses of the monitored circuit and helps the testing device analyze circuit performance.