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08/30/2023
MDTD: A Multi Domain Trojan Detector for Deep Neural Networks
Machine learning models that use deep neural networks (DNNs) are vulnera...
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04/04/2023
Risk-Aware Distributed Multi-Agent Reinforcement Learning
Autonomous cyber and cyber-physical systems need to perform decision-mak...
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01/11/2023
Electric Vehicles Security and Privacy: Challenges, Solutions, and Future Needs
Electric Vehicles (EVs) share common technologies with classical fossil-...
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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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08/04/2022
Identity-Based Authentication for On-Demand Charging of Electric Vehicles
Dynamic wireless power transfer provides means for charging Electric Veh...
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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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05/20/2022
Vulnerability Analysis and Performance Enhancement of Authentication Protocol in Dynamic Wireless Power Transfer Systems
Recent advancements in wireless charging technology, as well as the poss...
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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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03/25/2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning
Machine learning (ML) models that use deep neural networks are vulnerabl...
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03/18/2022
Privacy-Preserving Reinforcement Learning Beyond Expectation
Cyber and cyber-physical systems equipped with machine learning algorith...
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03/10/2022
EVExchange: A Relay Attack on Electric Vehicle Charging System
To support the increasing spread of Electric Vehicles (EVs), Charging St...
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02/19/2022
Shaping Advice in Deep Reinforcement Learning
Reinforcement learning involves agents interacting with an environment t...
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01/12/2022
Agent-Temporal Attention for Reward Redistribution in Episodic Multi-Agent Reinforcement Learning
This paper considers multi-agent reinforcement learning (MARL) tasks whe...
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03/29/2021
Reinforcement Learning Beyond Expectation
The inputs and preferences of human users are important considerations i...
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03/29/2021
Shaping Advice in Deep Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning involves multiple agents interacting ...
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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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01/08/2021
Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security
We study a two-player Stackelberg game with incomplete information such ...
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09/20/2020
Safety-Critical Online Control with Adversarial Disturbances
This paper studies the control of safety-critical dynamical systems in t...
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07/27/2020
Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries
A cyber-physical system (CPS) is expected to be resilient to more than o...
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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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07/22/2020
Secure Control in Partially Observable Environments to Satisfy LTL Specifications
This paper studies the synthesis of control policies for an agent that h...
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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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01/19/2020
FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback
Reinforcement learning has been successful in training autonomous agents...
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12/08/2019
Covert Channel-Based Transmitter Authentication in Controller Area Networks
In recent years, the security of automotive Cyber-Physical Systems (CPSs...
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10/27/2019
Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates
This paper studies the satisfaction of a class of temporal properties fo...
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07/28/2019
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Deep learning classifiers are known to be vulnerable to adversarial exam...
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07/25/2019
Mitigating Vulnerabilities of Voltage-based Intrusion Detection Systems in Controller Area Networks
Data for controlling a vehicle is exchanged among Electronic Control Uni...
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07/20/2019
Potential-Based Advice for Stochastic Policy Learning
This paper augments the reward received by a reinforcement learning agen...
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05/01/2019
Dropping Pixels for Adversarial Robustness
Deep neural networks are vulnerable against adversarial examples. In thi...
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04/22/2019
Detecting ADS-B Spoofing Attacks using Deep Neural Networks
The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key c...
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03/16/2019
Secure Control under Partial Observability with Temporal Logic Constraints
This paper studies the synthesis of control policies for an agent that h...
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03/12/2019
TACAN: Transmitter Authentication through Covert Channels in Controller Area Networks
Nowadays, the interconnection of automotive systems with modern digital ...
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11/14/2018
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats
Advanced Persistent Threats (APTs) infiltrate cyber systems and compromi...
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07/25/2018
Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks
This paper presents a new masquerade attack called the cloaking attack a...
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03/21/2018
Assessing Shape Bias Property of Convolutional Neural Networks
It is known that humans display "shape bias" when classifying new items,...
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03/16/2018
Semantic Adversarial Examples
Deep neural networks are known to be vulnerable to adversarial examples,...
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08/14/2017
Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API
Due to the growth of video data on Internet, automatic video analysis ha...
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03/26/2017
Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos
Despite the rapid progress of the techniques for image classification, v...
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03/20/2017
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images
Convolutional Neural Networks (CNNs) have achieved state-of-the-art perf...
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08/27/2016
Learning Temporal Dependence from Time-Series Data with Latent Variables
We consider the setting where a collection of time series, modeled as ra...
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02/28/2015
Group Event Detection with a Varying Number of Group Members for Video Surveillance
This paper presents a novel approach for automatic recognition of group ...
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02/28/2015
