Radha Poovendran

Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security

We study a two-player Stackelberg game with incomplete information such ...
01/08/2021 ∙ by Guosong Yang, et al. ∙ 0 ∙ share

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Safety-Critical Online Control with Adversarial Disturbances

This paper studies the control of safety-critical dynamical systems in t...
09/20/2020 ∙ by Bhaskar Ramasubramanian, et al. ∙ 0 ∙ share

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Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries

A cyber-physical system (CPS) is expected to be resilient to more than o...
07/27/2020 ∙ by Bhaskar Ramasubramanian, et al. ∙ 0 ∙ share

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Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats

Advanced persistent threats (APTs) are organized prolonged cyberattacks ...
07/24/2020 ∙ by Shana Moothedath, et al. ∙ 0 ∙ share

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Secure Control in Partially Observable Environments to Satisfy LTL Specifications

This paper studies the synthesis of control policies for an agent that h...
07/22/2020 ∙ by Bhaskar Ramasubramanian, et al. ∙ 0 ∙ share

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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...
06/30/2020 ∙ by Dinuka Sahabandu, et al. ∙ 0 ∙ share

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Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach

Advanced Persistent Threats (APTs) are stealthy customized attacks by in...
06/22/2020 ∙ by Shana Moothedath, et al. ∙ 0 ∙ share

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FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Reinforcement learning has been successful in training autonomous agents...
01/19/2020 ∙ by Baicen Xiao, et al. ∙ 6 ∙ share

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Covert Channel-Based Transmitter Authentication in Controller Area Networks

In recent years, the security of automotive Cyber-Physical Systems (CPSs...
12/08/2019 ∙ by Xuhang Ying, et al. ∙ 0 ∙ share

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Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates

This paper studies the satisfaction of a class of temporal properties fo...
10/27/2019 ∙ by Bhaskar Ramasubramanian, et al. ∙ 0 ∙ share

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Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples

Deep learning classifiers are known to be vulnerable to adversarial exam...
07/28/2019 ∙ by Hossein Hosseini, et al. ∙ 1 ∙ share

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Mitigating Vulnerabilities of Voltage-based Intrusion Detection Systems in Controller Area Networks

Data for controlling a vehicle is exchanged among Electronic Control Uni...
07/25/2019 ∙ by Sang Uk Sagong, et al. ∙ 0 ∙ share

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Potential-Based Advice for Stochastic Policy Learning

This paper augments the reward received by a reinforcement learning agen...
07/20/2019 ∙ by Baicen Xiao, et al. ∙ 6 ∙ share

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Dropping Pixels for Adversarial Robustness

Deep neural networks are vulnerable against adversarial examples. In thi...
05/01/2019 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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Detecting ADS-B Spoofing Attacks using Deep Neural Networks

The Automatic Dependent Surveillance-Broadcast (ADS-B) system is a key c...
04/22/2019 ∙ by Xuhang Ying, et al. ∙ 0 ∙ share

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Secure Control under Partial Observability with Temporal Logic Constraints

This paper studies the synthesis of control policies for an agent that h...
03/16/2019 ∙ by Bhaskar Ramasubramanian, et al. ∙ 0 ∙ share

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TACAN: Transmitter Authentication through Covert Channels in Controller Area Networks

Nowadays, the interconnection of automotive systems with modern digital ...
03/12/2019 ∙ by Xuhang Ying, et al. ∙ 0 ∙ share

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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...
11/14/2018 ∙ by Shana Moothedath, et al. ∙ 0 ∙ share

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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...
07/25/2018 ∙ by Xuhang Ying, et al. ∙ 0 ∙ share

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Assessing Shape Bias Property of Convolutional Neural Networks

It is known that humans display "shape bias" when classifying new items,...
03/21/2018 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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Semantic Adversarial Examples

Deep neural networks are known to be vulnerable to adversarial examples,...
03/16/2018 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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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...
08/14/2017 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos

Despite the rapid progress of the techniques for image classification, v...
03/26/2017 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

Convolutional Neural Networks (CNNs) have achieved state-of-the-art perf...
03/20/2017 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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Learning Temporal Dependence from Time-Series Data with Latent Variables

We consider the setting where a collection of time series, modeled as ra...
08/27/2016 ∙ by Hossein Hosseini, et al. ∙ 0 ∙ share

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Group Event Detection with a Varying Number of Group Members for Video Surveillance

This paper presents a novel approach for automatic recognition of group ...
02/28/2015 ∙ by Weiyao Lin, et al. ∙ 0 ∙ share

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Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance

This paper presents a novel approach for automatic recognition of human ...
02/28/2015 ∙ by Weiyao Lin, et al. ∙ 0 ∙ share

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Radha Poovendran

Featured Co-authors

Hannaneh Hajishirzi

Weiyao Lin

Mauro Conti

Sreeram Kannan

Baosen Zhang

Linda Bushnell

Andrew Clark

Ming-Ting Sun

Zhengyou Zhang

Hossein Hosseini

Bhaskar Ramasubramanian

Adaptive Learning in Two-Player Stackelberg Games with Application to Network Security

Safety-Critical Online Control with Adversarial Disturbances

Privacy-Preserving Resilience of Cyber-Physical Systems to Adversaries

Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats

Secure Control in Partially Observable Environments to Satisfy LTL Specifications

A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats

Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Covert Channel-Based Transmitter Authentication in Controller Area Networks

Linear Temporal Logic Satisfaction in Adversarial Environments using Secure Control Barrier Certificates

Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples

Mitigating Vulnerabilities of Voltage-based Intrusion Detection Systems in Controller Area Networks

Potential-Based Advice for Stochastic Policy Learning

Dropping Pixels for Adversarial Robustness

Detecting ADS-B Spoofing Attacks using Deep Neural Networks

Secure Control under Partial Observability with Temporal Logic Constraints

TACAN: Transmitter Authentication through Covert Channels in Controller Area Networks

A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats

Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks

Assessing Shape Bias Property of Convolutional Neural Networks

Semantic Adversarial Examples

Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API

Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos

On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

Learning Temporal Dependence from Time-Series Data with Latent Variables

Group Event Detection with a Varying Number of Group Members for Video Surveillance

Activity Recognition Using A Combination of Category Components And Local Models for Video Surveillance