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12/03/2022
LDL: A Defense for Label-Based Membership Inference Attacks
The data used to train deep neural network (DNN) models in applications ...
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07/13/2022
Game of Trojans: A Submodular Byzantine Approach
Machine learning models in the wild have been shown to be vulnerable to ...
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04/13/2022
A Natural Language Processing Approach for Instruction Set Architecture Identification
Binary analysis of software is a critical step in cyber forensics applic...
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03/29/2021
Scalable Planning in Multi-Agent MDPs
Multi-agent Markov Decision Processes (MMDPs) arise in a variety of appl...
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07/24/2020
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Advanced persistent threats (APTs) are organized prolonged cyberattacks ...
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06/30/2020
A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats
Advanced Persistent Threats (APTs) are stealthy attacks that threaten th...
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06/22/2020
Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach
Advanced Persistent Threats (APTs) are stealthy customized attacks by in...
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11/14/2018