Cryptography Research, Inc.

Rambus Inc.

Michael Alexander Hamburg

Mark Evan Marson

Helena Handschuh

Evan Lawrence Erickson

Thomas Vogelsang

John Eric Linstadt

Winthrop Wu

Technologies for modal encryption are described. One memory buffer device includes a compression block and an in-line memory encryption (IME) block. The compression block can output compressed data. The IME block can encrypt uncompressed data at a first granularity and encrypt the compressed data at a second granularity, wherein the second granularity is larger than the first granularity.

Memory buffer devices with modal encryption

Aspects of the present disclosure involve implementations that may be used to protect neural network models against adversarial attacks by obfuscating neural network operations and architecture. Obfuscation techniques include obfuscating weights and biases of neural network nodes, obfuscating activation functions used by neural networks, as well as obfuscating neural network architecture by introducing dummy operations, dummy nodes, and dummy layers into the neural networks.

Protection of neural networks by obfuscation of neural network operations and architecture

Systems and techniques that detect and correct failure of data storage and communication operations, including obtaining a first plurality of values, selecting a first plurality of error correction values to generate a first codeword, wherein the first codeword is associated with a plurality of syndrome values that encode a second subset of the first plurality of values, and causing a first processing device or a second processing device to restore the first plurality of values based on the first codeword.

Integration of compression algorithms with error correction codes

Aspects of the present disclosure involve a method and a system to perform a cryptographic operation that involves a number theoretic transformation of a first vector to a second vector by obtaining components of the first vector, performing a plurality of iterations that each include determining a plurality of output values, wherein each of the plurality of output values is a linear combination of two or more input values, the input values into a first iteration being the components of the first vector and the output values of the last iteration being representative of components of the second vector, and wherein one or more of the output values of at least one iteration are randomized by multiplying at least one input value by a random number, and determining, based on the output values of the last of the plurality of iterations, the components of the second vector.

Protection of transformations by intermediate randomization in cryptographic operations

Disclosed systems and techniques are directed to efficient integrity monitoring of computational operations using multiple memory arrays collectively representative of known events associated with the computational operations. Disclosed techniques include obtaining event identification value representative of a state of the computing device associated with execution of an operation on the computing device, obtaining memory pointers and selecting, based on the memory pointers, mapping values from multiple memory arrays, computing an event response value, and classifying the operation among a plurality of classes, based on the event response value.

Efficient integrity monitoring of processing operations with multiple memory arrays

Disclosed are systems and techniques for enhanced protection of cryptographic key generation in cryptographic applications. In particular, described is a method and a system that performs the method of obtaining input numbers associated with a cryptographic application, generating masking matrix based on at least one random value, obtaining masked numbers using a matrix product of the MM and the input numbers, determining a greatest common divisor (GCD) of the masked numbers, identifying a GCD of the input numbers, and using the identified GCD to generate a cryptographic key.

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's-Hertogenbosch, Netherlands

Michael Alexander Hamburg