Other

Vmware, Inc.

Blue Lane Technologies Inc.

Dileep Kumar Panjwani

Rohit Toshniwal

The present disclosure provides a system for improving performance of a neural network model. The system receives the neural network model and a training data associated with the neural network model. In addition, the system examines a first plurality of neuron activations inside the neural network model for the training data. The system examines the first plurality of neurons for creating a statistical profile of the first plurality of neuron activations. Further, the system receives a new set of data samples to improve the neural network model. Furthermore, the system examines a second plurality of neuron activations of each new sample of the new set of data samples. Moreover, the system extracts one or more data samples from the new set of data samples with largest novelty measurements. Also, the system adds the extracted one or more samples to the training data for re-training of the neural network model.

Method and system for enhancing training data and improving performance for neural network models

A one-way proxy system is provided that supports one-way analysis of a transport control protocol (TCP) data stream. The one-way proxy system is used to intercept a TCP data link between two respective TCP endpoints. A one-way analyzer such as a one-way content filter, virus scanner, or firewall may be used to analyze a TCP data stream that is intercepted by the one-way proxy system. The one way proxy system preserves TCP options and TCP properties associated with the TCP packets in the TCP data stream, so that an existing TCP session between the TCP endpoints can survive in the event of a hardware bypass operation. The one-way proxy has a low overhead because significant TCP processing of the TCP data stream is only required in one direction.

One-way proxy system

A universal patching machine is used to provide network-based security for a data network. The universal patching machine may be implemented on a network appliance located at the edge of the data network. From this location, the universal patching machine intercepts data traffic between the internet and the data network. The universal patching machine examines the intercepted data traffic to detect security vulnerabilities. If a vulnerability violation is detected, the universal patching machine modifies the data traffic to remove the violation. Fixing the data traffic in this way ensures that the vulnerability cannot be exploited in an attack against the data network. The universal patching machine is formed from patch processors and a packet controller. The patch processors are formed from network patches. In operation, the patch processors detect vulnerabilities and issue modification commands that direct the packet controller to fix the data traffic.

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San Jose, CA, United States of America

Dileep Kumar Panjwani