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 Steve Grobman
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Profile of Steve Grobman

Chief Technology Officer at Intel Security
News & Commentary Posts: 7

Steve Grobman is the chief technology officer for Intel Security Group at Intel Corporation. In this role, Grobman sets the technical strategy and direction for the company's security business across hardware and software platforms, including McAfee and Intel's other security assets.

 

Grobman joined Intel in 1994 as an architect in IT and has served in a variety of senior technical leadership positions during his Intel career. Before assuming his current role in late 2014, he spent a year as chief technology officer for the Intel Security platform division. Prior to that role, he spent two years as chief technology officer at Intel's subsidiary McAfee to integrate security technology from the two companies.

 

In prior roles, Grobman served as chief security technologist for the Intel Atom processor system-on-chip design group and spent seven years as chief architect for Intel vPro technology platforms. In the latter position, he led work on the solutions architecture that resulted in a business platform with unique hardware-based management and security capabilities.

 

Before joining Intel, Grobman spent four years at IBM as a solutions programmer and developer. Grobman has published a number of technical papers and books, and holds 20 U.S. and international patents in the fields of security, software, and computer architecture, with about another 20 patents pending. He is also the recipient of two Intel Achievement Awards, the first earned in 2005 for the invention, initial architecture, and strategy of the first PC embedded appliance; and the second in 2007 for the success of the Intel vPro technology platform.

 

Grobman earned his bachelor's degree in computer science from North Carolina State University

Articles by Steve Grobman
posted in July 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...