Yevgeniy Vorobeychik

research

∙ 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...

0 Jun Wang, et al. ∙

research

∙ 07/24/2023

Homophily-Driven Sanitation View for Robust Graph Contrastive Learning

We investigate adversarial robustness of unsupervised Graph Contrastive ...

0 Yulin Zhu, et al. ∙

research

∙ 05/11/2023

Neural Lyapunov Control for Discrete-Time Systems

While ensuring stability for linear systems is well understood, it remai...

0 Junlin Wu, et al. ∙

research

∙ 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...

0 Joseph Bao, et al. ∙

research

∙ 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...

0 Ashwin Kumar, et al. ∙

research

∙ 02/04/2023

Certified Robust Control under Adversarial Perturbations

Autonomous systems increasingly rely on machine learning techniques to t...

0 Jinghan Yang, et al. ∙

research

∙ 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...

0 Rajagopal Venkatesaramani, et al. ∙

research

∙ 12/28/2022

Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks

Function approximation has enabled remarkable advances in applying reinf...

0 Junlin Wu, et al. ∙

research

∙ 11/28/2022

A Visual Active Search Framework for Geospatial Exploration

Many problems can be viewed as forms of geospatial search aided by aeria...

0 Anindya Sarkar, et al. ∙

research

∙ 09/08/2022

Reward Delay Attacks on Deep Reinforcement Learning

Most reinforcement learning algorithms implicitly assume strong synchron...

0 Anindya Sarkar, et al. ∙

research

∙ 06/21/2022

Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum

Despite considerable advances in deep reinforcement learning, it has bee...

0 Junlin Wu, et al. ∙

research

∙ 04/29/2022

Manipulating Elections by Changing Voter Perceptions

The integrity of elections is central to democratic systems. However, a ...

0 Junlin Wu, et al. ∙

research

∙ 04/08/2022

A Rotating Proposer Mechanism for Team Formation

We present a rotating proposer mechanism for team formation, which imple...

0 Jian Low, et al. ∙

research

∙ 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...

0 James Holt, et al. ∙

research

∙ 01/28/2022

Networked Restless Multi-Armed Bandits for Mobile Interventions

Motivated by a broad class of mobile intervention problems, we propose a...

12 Han-Ching Ou, et al. ∙

research

∙ 12/25/2021

Defending Against Membership Inference Attacks on Beacon Services

Large genomic datasets are now created through numerous activities, incl...

0 Rajagopal Venkatesaramani, et al. ∙

research

∙ 10/21/2021

PROVES: Establishing Image Provenance using Semantic Signatures

Modern AI tools, such as generative adversarial networks, have transform...

0 Mingyang Xie, et al. ∙

research

∙ 10/08/2021

Computing an Optimal Pitching Strategy in a Baseball At-Bat

The field of quantitative analytics has transformed the world of sports ...

0 Connor Douglas, et al. ∙

research

∙ 09/23/2021

Learning Generative Deception Strategies in Combinatorial Masking Games

Deception is a crucial tool in the cyberdefence repertoire, enabling def...

0 Junlin Wu, et al. ∙

research

∙ 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...

0 Shanto Roy, et al. ∙

research

∙ 06/17/2021

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

We present the first framework of Certifying Robust Policies for reinfor...

0 Fan Wu, et al. ∙

research

∙ 06/08/2021

Solving Structured Hierarchical Games Using Differential Backward Induction

Many real-world systems possess a hierarchical structure where a strateg...

0 Zun Li, et al. ∙

research

∙ 05/02/2021

Altruism Design in Networked Public Goods Games

Many collective decision-making settings feature a strategic tension bet...

0 Sixie Yu, et al. ∙

research

∙ 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...

0 Liang Tong, et al. ∙

research

∙ 02/21/2021

A Game-Theoretic Approach for Hierarchical Policy-Making

We present the design and analysis of a multi-level game-theoretic model...

0 Feiran Jia, et al. ∙

research

∙ 02/17/2021

Re-identification of Individuals in Genomic Datasets Using Public Face Images

DNA sequencing is becoming increasingly commonplace, both in medical and...

0 Rajagopal Venkatesaramani, et al. ∙

research

∙ 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...

0 Kun Jin, et al. ∙

research

∙ 12/16/2020

Incentivizing Truthfulness Through Audits in Strategic Classification

In many societal resource allocation domains, machine learning methods a...

0 Andrew Estornell, et al. ∙

research

∙ 11/02/2020

Blocking Adversarial Influence in Social Networks

While social networks are widely used as a media for information diffusi...

0 Feiran Jia, et al. ∙

research

∙ 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 ...

0 Jinghan Yang, et al. ∙

research

∙ 08/12/2020

Optimizing Graph Structure for Targeted Diffusion

The problem of diffusion control on networks has been extensively studie...

0 Sixie Yu, et al. ∙

research

∙ 07/26/2020

Robust Collective Classification against Structural Attacks

Collective learning methods exploit relations among data points to enhan...

0 Kai Zhou, et al. ∙

research

∙ 07/19/2020

Election Control by Manipulating Issue Significance

Integrity of elections is vital to democratic systems, but it is frequen...

0 Andrew Estornell, et al. ∙

research

∙ 06/23/2020

Towards Robust Sensor Fusion in Visual Perception

We study the problem of robust sensor fusion in visual perception, espec...

0 Shaojie Wang, et al. ∙

research

∙ 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 ...

0 Ayan Mukhopadhyay, et al. ∙

research

∙ 05/08/2020

Towards Robustness against Unsuspicious Adversarial Examples

Despite the remarkable success of deep neural networks, significant conc...

6 Liang Tong, et al. ∙

research

∙ 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...

0 David Kempe, et al. ∙

research

∙ 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...

0 Geoffrey Pettet, et al. ∙

research

∙ 12/04/2019

Protecting Geolocation Privacy of Photo Collections

People increasingly share personal information, including their photos a...

6 Jinghan Yang, et al. ∙

research

∙ 11/28/2019

Manipulating Elections by Selecting Issues

Constructive election control considers the problem of an adversary who ...

0 Jasper Lu, et al. ∙

research

∙ 11/27/2019

Deep Reinforcement Learning based Adaptive Moving Target Defense

Moving target defense (MTD) is a proactive defense approach that aims to...

0 Taha Eghtesad, et al. ∙

research

∙ 11/14/2019

Deception through Half-Truths

Deception is a fundamental issue across a diverse array of settings, fro...

0 Andrew Estornell, et al. ∙

research

∙ 11/13/2019

Computing Equilibria in Binary Networked Public Goods Games

Public goods games study the incentives of individuals to contribute to ...

0 Sixie Yu, et al. ∙

research

∙ 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...

6 Ren Pang, et al. ∙

research

∙ 10/30/2019

Path Planning Games

Path planning is a fundamental and extensively explored problem in robot...

0 Yi Li, et al. ∙

research

∙ 10/02/2019

Attacking Vision-based Perception in End-to-End Autonomous Driving Models

Recent advances in machine learning, especially techniques such as deep ...

35 Adith Boloor, et al. ∙

research

∙ 09/20/2019

Defending Against Physically Realizable Attacks on Image Classification

We study the problem of defending deep neural network approaches for ima...

13 Tong Wu, et al. ∙

research

∙ 09/03/2019

Adversarial Robustness of Similarity-Based Link Prediction

Link prediction is one of the fundamental problems in social network ana...

0 Kai Zhou, et al. ∙

research

∙ 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...

6 Liang Tong, et al. ∙

research

∙ 05/16/2019

To Warn or Not to Warn: Online Signaling in Audit Games

Routine operational use of sensitive data is commonly governed by laws a...

0 Chao Yan, et al. ∙

Yevgeniy Vorobeychik

Featured Co-authors