Yevgeniy Vorobeychik

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing

We present the first framework of Certifying Robust Policies for reinfor...
06/17/2021 ∙ by Fan Wu, et al. ∙ 0 ∙ share

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Solving Structured Hierarchical Games Using Differential Backward Induction

Many real-world systems possess a hierarchical structure where a strateg...
06/08/2021 ∙ by Zun Li, et al. ∙ 0 ∙ share

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Altruism Design in Networked Public Goods Games

Many collective decision-making settings feature a strategic tension bet...
05/02/2021 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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FACESEC: A Fine-grained Robustness Evaluation Framework for Face Recognition Systems

We present FACESEC, a framework for fine-grained robustness evaluation o...
04/08/2021 ∙ by Liang Tong, et al. ∙ 0 ∙ share

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A Game-Theoretic Approach for Hierarchical Policy-Making

We present the design and analysis of a multi-level game-theoretic model...
02/21/2021 ∙ by Feiran Jia, et al. ∙ 0 ∙ share

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

DNA sequencing is becoming increasingly commonplace, both in medical and...
02/17/2021 ∙ by Rajagopal Venkatesaramani, et al. ∙ 0 ∙ share

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Multi-Scale Games: Representing and Solving Games on Networks with Group Structure

Network games provide a natural machinery to compactly represent strateg...
01/20/2021 ∙ by Kun Jin, et al. ∙ 0 ∙ share

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Incentivizing Truthfulness Through Audits in Strategic Classification

In many societal resource allocation domains, machine learning methods a...
12/16/2020 ∙ by Andrew Estornell, et al. ∙ 0 ∙ share

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Blocking Adversarial Influence in Social Networks

While social networks are widely used as a media for information diffusi...
11/02/2020 ∙ by Feiran Jia, et al. ∙ 0 ∙ share

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Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

There is considerable evidence that deep neural networks are vulnerable ...
10/17/2020 ∙ by Jinghan Yang, et al. ∙ 0 ∙ share

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Optimizing Graph Structure for Targeted Diffusion

The problem of diffusion control on networks has been extensively studie...
08/12/2020 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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Robust Collective Classification against Structural Attacks

Collective learning methods exploit relations among data points to enhan...
07/26/2020 ∙ by Kai Zhou, et al. ∙ 0 ∙ share

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Election Control by Manipulating Issue Significance

Integrity of elections is vital to democratic systems, but it is frequen...
07/19/2020 ∙ by Andrew Estornell, et al. ∙ 0 ∙ share

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Towards Robust Sensor Fusion in Visual Perception

We study the problem of robust sensor fusion in visual perception, espec...
06/23/2020 ∙ by Shaojie Wang, et al. ∙ 0 ∙ share

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A Review of Emergency Incident Prediction, Resource Allocation and Dispatch Models

Emergency response to incidents such as roadway accidents is one of the ...
06/07/2020 ∙ by Ayan Mukhopadhyay, et al. ∙ 0 ∙ share

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Towards Robustness against Unsuspicious Adversarial Examples

Despite the remarkable success of deep neural networks, significant conc...
05/08/2020 ∙ by Liang Tong, et al. ∙ 6 ∙ share

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Inducing Equilibria in Networked Public Goods Games through Network Structure Modification

Networked public goods games model scenarios in which self-interested ag...
02/25/2020 ∙ by David Kempe, et al. ∙ 0 ∙ share

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On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities

Emergency Response Management (ERM) is a critical problem faced by commu...
01/21/2020 ∙ by Geoffrey Pettet, et al. ∙ 0 ∙ share

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Protecting Geolocation Privacy of Photo Collections

People increasingly share personal information, including their photos a...
12/04/2019 ∙ by Jinghan Yang, et al. ∙ 6 ∙ share

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Manipulating Elections by Selecting Issues

Constructive election control considers the problem of an adversary who ...
11/28/2019 ∙ by Jasper Lu, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning based Adaptive Moving Target Defense

Moving target defense (MTD) is a proactive defense approach that aims to...
11/27/2019 ∙ by Taha Eghtesad, et al. ∙ 0 ∙ share

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Deception through Half-Truths

Deception is a fundamental issue across a diverse array of settings, fro...
11/14/2019 ∙ by Andrew Estornell, et al. ∙ 0 ∙ share

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Computing Equilibria in Binary Networked Public Goods Games

Public goods games study the incentives of individuals to contribute to ...
11/13/2019 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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The Tale of Evil Twins: Adversarial Inputs versus Backdoored Models

Despite their tremendous success in a wide range of applications, deep n...
11/05/2019 ∙ by Ren Pang, et al. ∙ 6 ∙ share

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Path Planning Games

Path planning is a fundamental and extensively explored problem in robot...
10/30/2019 ∙ by Yi Li, et al. ∙ 0 ∙ share

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

Recent advances in machine learning, especially techniques such as deep ...
10/02/2019 ∙ by Adith Boloor, et al. ∙ 35 ∙ share

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Defending Against Physically Realizable Attacks on Image Classification

We study the problem of defending deep neural network approaches for ima...
09/20/2019 ∙ by Tong Wu, et al. ∙ 13 ∙ share

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Adversarial Robustness of Similarity-Based Link Prediction

Link prediction is one of the fundamental problems in social network ana...
09/03/2019 ∙ by Kai Zhou, et al. ∙ 0 ∙ share

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Finding Needles in a Moving Haystack: Prioritizing Alerts with Adversarial Reinforcement Learning

Detection of malicious behavior is a fundamental problem in security. On...
06/20/2019 ∙ by Liang Tong, et al. ∙ 6 ∙ share

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

Routine operational use of sensitive data is commonly governed by laws a...
05/16/2019 ∙ by Chao Yan, et al. ∙ 0 ∙ share

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Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models

Recent advances in machine learning, especially techniques such as deep ...
03/12/2019 ∙ by Adith Boloor, et al. ∙ 14 ∙ share

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An Online Decision-Theoretic Pipeline for Responder Dispatch

The problem of dispatching emergency responders to service traffic accid...
02/21/2019 ∙ by Ayan Mukhopadhyay, et al. ∙ 0 ∙ share

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Distributionally Robust Removal of Malicious Nodes from Networks

An important problem in networked systems is detection and removal of su...
01/31/2019 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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Removing Malicious Nodes from Networks

A fundamental challenge in networked systems is detection and removal of...
12/30/2018 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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Regularized Ensembles and Transferability in Adversarial Learning

Despite the considerable success of convolutional neural networks in a b...
12/05/2018 ∙ by Yifan Chen, et al. ∙ 0 ∙ share

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Plan Interdiction Games

We propose a framework for cyber risk assessment and mitigation which mo...
11/15/2018 ∙ by Yevgeniy Vorobeychik, et al. ∙ 0 ∙ share

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Adversarial Link Prediction in Social Networks

Link prediction is one of the fundamental tools in social network analys...
09/22/2018 ∙ by Kai Zhou, et al. ∙ 0 ∙ share

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Defending Elections Against Malicious Spread of Misinformation

The integrity of democratic elections depends on voters' access to accur...
09/14/2018 ∙ by Bryan Wilder, et al. ∙ 0 ∙ share

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Attack Tolerance of Link Prediction Algorithms: How to Hide Your Relations in a Social Network

Link prediction is one of the fundamental research problems in network a...
09/01/2018 ∙ by Marcin Waniek, et al. ∙ 0 ∙ share

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Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening

As the Industrial Internet of Things (IIot) becomes more prevalent in cr...
08/28/2018 ∙ by Aron Laszka, et al. ∙ 0 ∙ share

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Detection and Mitigation of Attacks on Transportation Networks as a Multi-Stage Security Game

In recent years, state-of-the-art traffic-control devices have evolved f...
08/25/2018 ∙ by Aron Laszka, et al. ∙ 0 ∙ share

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Adversarial Regression with Multiple Learners

Despite the considerable success enjoyed by machine learning techniques ...
06/06/2018 ∙ by Liang Tong, et al. ∙ 0 ∙ share

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Adversarial Regression for Detecting Attacks in Cyber-Physical Systems

Attacks in cyber-physical systems (CPS) which manipulate sensor readings...
04/30/2018 ∙ by Amin Ghafouri, et al. ∙ 0 ∙ share

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Adversarial Task Assignment

The problem of assigning tasks to workers is of long-standing fundamenta...
04/27/2018 ∙ by Chen Hajaj, et al. ∙ 0 ∙ share

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Adversarial Classification on Social Networks

The spread of unwanted or malicious content through social media has bec...
01/24/2018 ∙ by Sixie Yu, et al. ∙ 0 ∙ share

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Get Your Workload in Order: Game Theoretic Prioritization of Database Auditing

For enhancing the privacy protections of databases, where the increasing...
01/22/2018 ∙ by Chao Yan, et al. ∙ 0 ∙ share

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Controlling Elections through Social Influence

Election control considers the problem of an adversary who attempts to t...
11/23/2017 ∙ by Bryan Wilder, et al. ∙ 0 ∙ share

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Adversarial Task Allocation

The problem of allocating tasks to workers is of long standing fundament...
09/01/2017 ∙ by Chen Hajaj, et al. ∙ 0 ∙ share

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Robust High-Dimensional Linear Regression

The effectiveness of supervised learning techniques has made them ubiqui...
08/07/2016 ∙ by Chang Liu, et al. ∙ 0 ∙ share

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A General Retraining Framework for Scalable Adversarial Classification

Traditional classification algorithms assume that training and test data...
04/09/2016 ∙ by Bo Li, et al. ∙ 0 ∙ share

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Yevgeniy Vorobeychik

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