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 Raja Patel
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Profile of Raja Patel

Vice President and General Manager of Network Security at Intel Security
News & Commentary Posts: 3

Raja Patel is vice president in the Intel Security Group and general manager of the Network Security business unit at Intel Corporation. He is responsible for defining and executing the strategic direction for Intel Security's Network Security business, which includes network intrusion prevention systems, enterprise firewalls, advanced threat defense solutions, and security solutions for the cloud. Patel leads the engineering, product management, marketing and sales functions that drive worldwide growth for this area of the business.

Prior to this role, he led Intel Security Group's cloud strategy initiatives. Patel joined Intel from Cisco where he led its cloud security services business, with a focus on content security, threat intelligence and advanced threat solutions.

Patel also held other senior positions at Cisco, including strategy development across the enterprise-networking portfolio, product management for its integrated services routing portfolio, overseeing development, go-to-market and lifecycle management for a broad range of hardware and software offerings.

Prior to Cisco, Patel worked in business development, application and flight test engineering at Honeywell.

Patel holds a bachelor's degree in aerospace engineering with a minor in mathematics from Embry-Riddle Aeronautical University in Prescott, Arizona, and an MBA degree in global management from the University of Phoenix.

Articles by Raja Patel
posted in June 2015
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CVE-2020-15208
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a `DCHECK` which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can ...
CVE-2020-15209
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, a crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. This can be achieved by changing a buffer index in the flatbuffer serialization to convert a read-only tensor to a read-write one....
CVE-2020-15210
PUBLISHED: 2020-09-25
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and ...
CVE-2020-15211
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indices f...
CVE-2020-15212
PUBLISHED: 2020-09-25
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to `segment_ids_data` can alter `output_index` and then write to outside of `outpu...