Marian Radu

INFORMATION CLASSIFICATION BASED ON DETECTING PROVISIONS FOR INTRUSIVE ACTIONS

PROTECTED TRAINING OF PRIVATE ADAPTER MODELS FOR A HOSTED FOUNDATION MODEL

DETERMINING AND MITIGATING ARTIFICIAL INTELLIGENCE MODEL VULNERABILITIES

REPRESENTATION-AGNOSTIC FILE CLASSIFIER

SEMI-SUPERVISED MALWARE CLASSIFICATION USING REPRESENTATION-AGNOSTIC TRANSFORMER MODELS

INJECTED BYTE BUFFER DATA CLASSIFICATION

PRIVATE DATA SET INTERSECTION WITH MUTUAL DEVICE ANONYMITY

LARGE LANGUAGE MODEL-BASED SOFTWARE REVERSE ENGINEERING ASSISTANT

Injected byte buffer data classification

TECHNIQUES FOR ASSESSING MALWARE CLASSIFICATION

TECHNIQUES FOR DELEGATED INTER-PARTY PRIVATE SET INTERSECTION

SMART NOTIFICATION FOR STRUCTURED AND UNSTRUCTURED DATA

FUNNEL TECHNIQUES FOR NATURAL LANGUAGE TO API CALLS

INCREMENTAL SOLVES USING LLMS FOR API CALLS

PREVENTION OF PROMPT INJECTION ATTACKS ON LARGE LANGUAGE MODELS BY TOKENIZATION OF STRUCTURED DATA ELEMENTS

METHOD AND APPARATUS FOR MALICIOUS FILE EXTENSION DETECTION

ADVERSARIAL ATTACKS COMMON INTERFACE

Aggressive Embedding Dropout in Embedding-Based Malware Detection

MACHINE LEARNING-BASED MALWARE DETECTION FOR CODE REFLECTION

DATA-ONLY DECISION VALIDATION MODELS TO UPDATE FALSE PREDICTIONS

ANOMALOUS COMMAND LINE ENTRY DETECTION

APPLICATIONS OF MACHINE LEARNING MODELS TO A BINARY SEARCH ENGINE BASED ON AN INVERTED INDEX OF BYTE SEQUENCES

Byte n-gram embedding model

Byte n-gram embedding model

Applications of machine learning models to a binary search engine based on an inverted index of byte sequences