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09/18/2023
Conformal Temporal Logic Planning using Large Language Models: Knowing When to Do What and When to Ask for Help
This paper addresses a new motion planning problem for mobile robots tas...
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07/24/2023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning
We investigate adversarial robustness of unsupervised Graph Contrastive ...
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05/11/2023
Neural Lyapunov Control for Discrete-Time Systems
While ensuring stability for linear systems is well understood, it remai...
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05/01/2023
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception
Over the years, honeypots emerged as an important security tool to under...
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03/25/2023
Using Simple Incentives to Improve Two-Sided Fairness in Ridesharing Systems
State-of-the-art order dispatching algorithms for ridesharing batch pass...
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02/04/2023
Certified Robust Control under Adversarial Perturbations
Autonomous systems increasingly rely on machine learning techniques to t...
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01/11/2023
Enabling Trade-offs in Privacy and Utility in Genomic Data Beacons and Summary Statistics
The collection and sharing of genomic data are becoming increasingly com...
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12/28/2022
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks
Function approximation has enabled remarkable advances in applying reinf...
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11/28/2022
A Visual Active Search Framework for Geospatial Exploration
Many problems can be viewed as forms of geospatial search aided by aeria...
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09/08/2022
Reward Delay Attacks on Deep Reinforcement Learning
Most reinforcement learning algorithms implicitly assume strong synchron...
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06/21/2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum
Despite considerable advances in deep reinforcement learning, it has bee...
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04/29/2022
Manipulating Elections by Changing Voter Perceptions
The integrity of elections is central to democratic systems. However, a ...
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04/08/2022
A Rotating Proposer Mechanism for Team Formation
We present a rotating proposer mechanism for team formation, which imple...
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02/28/2022
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
The workshop will focus on the application of AI to problems in cyber se...
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01/28/2022
Networked Restless Multi-Armed Bandits for Mobile Interventions
Motivated by a broad class of mobile intervention problems, we propose a...
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12/25/2021
Defending Against Membership Inference Attacks on Beacon Services
Large genomic datasets are now created through numerous activities, incl...
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10/21/2021
PROVES: Establishing Image Provenance using Semantic Signatures
Modern AI tools, such as generative adversarial networks, have transform...
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10/08/2021
Computing an Optimal Pitching Strategy in a Baseball At-Bat
The field of quantitative analytics has transformed the world of sports ...
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09/23/2021
Learning Generative Deception Strategies in Combinatorial Masking Games
Deception is a crucial tool in the cyberdefence repertoire, enabling def...
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09/16/2021
Strategic Remote Attestation: Testbed for Internet-of-Things Devices and Stackelberg Security Game for Optimal Strategies
Internet of Things (IoT) devices and applications can have significant v...
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06/17/2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing
We present the first framework of Certifying Robust Policies for reinfor...
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06/08/2021
Solving Structured Hierarchical Games Using Differential Backward Induction
Many real-world systems possess a hierarchical structure where a strateg...
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05/02/2021
Altruism Design in Networked Public Goods Games
Many collective decision-making settings feature a strategic tension bet...
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04/08/2021
FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems
We present FACESEC, a framework for fine-grained robustness evaluation o...
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02/21/2021
A Game-Theoretic Approach for Hierarchical Policy-Making
We present the design and analysis of a multi-level game-theoretic model...
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02/17/2021
Re-identification of Individuals in Genomic Datasets Using Public Face Images
DNA sequencing is becoming increasingly commonplace, both in medical and...
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01/20/2021
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
Network games provide a natural machinery to compactly represent strateg...
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12/16/2020
Incentivizing Truthfulness Through Audits in Strategic Classification
In many societal resource allocation domains, machine learning methods a...
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11/02/2020
Blocking Adversarial Influence in Social Networks
While social networks are widely used as a media for information diffusi...
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10/17/2020
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing
There is considerable evidence that deep neural networks are vulnerable ...
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08/12/2020
Optimizing Graph Structure for Targeted Diffusion
The problem of diffusion control on networks has been extensively studie...
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07/26/2020
Robust Collective Classification against Structural Attacks
Collective learning methods exploit relations among data points to enhan...
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07/19/2020
Election Control by Manipulating Issue Significance
Integrity of elections is vital to democratic systems, but it is frequen...
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06/23/2020
Towards Robust Sensor Fusion in Visual Perception
We study the problem of robust sensor fusion in visual perception, espec...
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06/07/2020
A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models
Emergency response to incidents such as roadway accidents is one of the ...
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05/08/2020
Towards Robustness against Unsuspicious Adversarial Examples
Despite the remarkable success of deep neural networks, significant conc...
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02/25/2020
Inducing Equilibria in Networked Public Goods Games through Network Structure Modification
Networked public goods games model scenarios in which self-interested ag...
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01/21/2020
On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities
Emergency Response Management (ERM) is a critical problem faced by commu...
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12/04/2019
Protecting Geolocation Privacy of Photo Collections
People increasingly share personal information, including their photos a...
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11/28/2019
Manipulating Elections by Selecting Issues
Constructive election control considers the problem of an adversary who ...
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11/27/2019
Deep Reinforcement Learning based Adaptive Moving Target Defense
Moving target defense (MTD) is a proactive defense approach that aims to...
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11/14/2019
Deception through Half-Truths
Deception is a fundamental issue across a diverse array of settings, fro...
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11/13/2019
Computing Equilibria in Binary Networked Public Goods Games
Public goods games study the incentives of individuals to contribute to ...
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11/05/2019
The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models
Despite their tremendous success in a wide range of applications, deep n...
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10/30/2019
Path Planning Games
Path planning is a fundamental and extensively explored problem in robot...
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10/02/2019
Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Recent advances in machine learning, especially techniques such as deep ...
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09/20/2019
Defending Against Physically Realizable Attacks on Image Classification
We study the problem of defending deep neural network approaches for ima...
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09/03/2019
Adversarial Robustness of Similarity-Based Link Prediction
Link prediction is one of the fundamental problems in social network ana...
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06/20/2019
Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning
Detection of malicious behavior is a fundamental problem in security. On...
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05/16/2019