Nir Drucker

INCREASING THE SPEED OF HOMOMORPHIC ENCRYPTION ENCODING

Parallelizing Computations of Neural Activations and Layer Normalizations in FHE Environments of Deep Learning Models

AUTOMATIC TILE TENSOR RESHAPING FOR EXECUTION PARALLELIZATION

PROCESSING A SUBSET OF A FEATURE SET TO DETERMINE WHETHER TO PROCESS A QUERY REQUEST ON A LOCAL ARTIFICIAL INTELLIGENCE ENGINE OR A REMOTE ARTIFICIAL INTELLIGENCE ENGINE

DATABASE TABLE JOINING UNDER FULLY HOMOMORPHIC ENCRYPTION

Reducing Homomorphic Encryption Rotations when Reshaping a Ciphertext

Reducing homomorphic encryption rotations when reshaping a ciphertext

Fast Polynomial Evaluation Under Fully Homomorphic Encryption by Products of Differences from Roots Using Rotations

Ciphertext Nullification Operations

Approximate Homomorphic Cryptographic Operations

HOMOMORPHIC GENERATION OF ROTATION KEYS

LOW BANDWIDTH ROTATION KEYS GENERATION FOR A HIERARCHICAL THREAT MODEL

EXECUTING COMPLEX COMPUTATIONS USING SPLIT GRAPHS

RESHAPING DATA STRUCTURES FOR HOMOMORPHIC COMPUTATIONS USING MULTIPLICATION BY IDENTITY ELEMENTS

FASTER EVALUATION OF BOOLEAN CIRCUITS IN LIMITED COMPUTATIONAL ENVIRONMENTS

HOMOMORPHIC ENCRYPTED ONE-HOT MAPS USING INTERMEDIATE CHINESE REMAINDER THEOREM (CRT) MAPS

TRAINING MACHINE LEARNING MODELS ON PRIVATE DATA IN UNTRUSTED ENVIRONMENT USING ANONYMIZED DATA AND ENCRYPTED DATA

POLYNOMIAL APPROXIMATION OF DEEP LEARNING MODELS

ACCELERATING PRIVACY-PRESERVING NEURAL NETWORKS AND AN EFFICIENT SKIP-CONNECTION REALIZATION THEREOF

TRAINING NEURAL NETWORKS WITH NON-POLYNOMIAL ELEMENTS FOR HOMOMORPHIC ENCRYPTION COMPUTATIONS USING SUB-NETWORKS AND MULTI-LOSS

MASKING CIPHERTEXTS USING RANDOM ELEMENTS FOR SECURE DECRYPTION

Fully homomorphic encryption for fixed-point elements

PERFORMING COMPARISON OPERATIONS UNDER HOMOMORPHIC ENCRYPTION

NEURAL NETWORK INFERENCE UNDER HOMOMORPHIC ENCRYPTION

PRIVACY ENHANCED FEDERATED TRAINING AND INFERENCE OVER VERTICALLY AND HORIZONTALLY PARTITIONED DATA

PRIVACY ENHANCED MACHINE LEARNING OVER GRAPH DATA

VERIFYING REMOTE EXECUTION OF MACHINE LEARNING INFERENCE UNDER HOMOMORPHIC ENCRYPTION USING PERMUTATIONS

Homomorphic encryption key management

Tournament type selection operations on encrypted data

SIMULATING CIPHERTEXTS USING SMALLER CIPHERTEXTS PACKED WITH DESIGNATED PACKING

PROCESSING COMPLEX PACKED TENSORS USING INTEGRATED CIRCUIT OF REAL AND COMPLEX PACKED TENSORS IN COMPLEX DOMAIN

Graph based embedding under fully homomorphic encryption

Execution of homomorphically encrypted code using dynamically selected blocks

PACKING MACHINE LEARNING MODELS USING PRUNING AND PERMUTATION

MACHINE LEARNING NETWORK EXTENSION BASED ON HOMOMORPHIC ENCRYPTION PACKINGS

METHOD TO PRIVATELY DETERMINE DATA INTERSECTION