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Computer Science

D-Index
43
Citations
5974
World Ranking
8106
National Ranking
3474

Overview

Yevgeniy Vorobeychik is affiliated with Washington University in St. Louis in the United States and primarily works in the field of Computer Science. Their research spans several subfields including Artificial Intelligence, Management Science and Operations Research, Statistical and Nonlinear Physics, Computer Networks and Communications, as well as Sociology and Political Science.

The main topics of their work cover a range of specialized areas:

  • Adversarial Robustness in Machine Learning
  • Game Theory and Applications
  • Privacy-Preserving Technologies in Data
  • Network Security and Intrusion Detection
  • Opinion Dynamics and Social Influence
  • Advanced Malware Detection Techniques
  • Complex Network Analysis Techniques

Vorobeychik has contributed numerous papers to the academic community. Some recent publications include:

  • "Sociotechnical safeguards for genomic data privacy," 2022, Nature Reviews Genetics
  • "Attacking vision-based perception in end-to-end autonomous driving models," 2020, Journal of Systems Architecture
  • "A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management," 2021, Accident Analysis & Prevention
  • "Security Games with Limited Surveillance," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Computing Stackelberg Equilibria in Discounted Stochastic Games," 2021, Proceedings of the AAAI Conference on Artificial Intelligence

Their frequent co-authors include:

  • Bradley Malin
  • Ellen Wright Clayton
  • Murat Kantarcıoğlu
  • Zhiyu Wan
  • Junlin Wu

Vorobeychik has published extensively in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Journal of the American Medical Informatics Association
  • Lecture Notes in Computer Science
  • Zenodo (CERN European Organization for Nuclear Research)

In addition to journal and conference papers, their scholarly output includes book publications. Notably, a book titled Distributed Artificial Intelligence was published in 2023 by Springer Science+Business Media.

Best Publications

  • Data Poisoning Attacks on Factorization-Based Collaborative Filtering

    Bo Li;Yining Wang;Aarti Singh;Yevgeniy Vorobeychik

  • Adversarial Machine Learning

    Yevgeniy Vorobeychik;Murat Kantarcioglu

  • Empirically Grounded Agent-Based Models of Innovation Diffusion: A Critical Review

    Haifeng Zhang;Yevgeniy Vorobeychik

  • Submodular optimization with routing constraints

    Haifeng Zhang;Yevgeniy Vorobeychik

  • Feature Cross-Substitution in Adversarial Classification

    Bo Li;Yevgeniy Vorobeychik

  • Behavioral dynamics and influence in networked coloring and consensus

    J. Stephen Judd;Michael J. Kearns;Yevgeniy Vorobeychik

  • Price prediction in a trading agent competition

    Michael P. Wellman;Daniel M. Reeves;Kevin M. Lochner;Yevgeniy Vorobeychik

  • A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models

    Ren Pang;Hua Shen;Xinyang Zhang;Shouling Ji

  • Deceiving Cyber Adversaries: A Game Theoretic Approach

    Aaron Schlenker;Omkar Thakoor;Haifeng Xu;Fei Fang

  • Attacking vision-based perception in end-to-end autonomous driving models

    Adith Boloor;Karthik Garimella;Xin He;Christopher D. Gill

  • Robust Linear Regression Against Training Data Poisoning

    Chang Liu;Bo Li;Yevgeniy Vorobeychik;Alina Oprea

  • SURE: A Modeling and Simulation Integration Platform for Evaluation of Secure and Resilient Cyber–Physical Systems

    Xenofon Koutsoukos;Gabor Karsai;Aron Laszka;Himanshu Neema

  • Optimal randomized classification in adversarial settings

    Yevgeniy Vorobeychik;Bo Li

  • Distributed feedback control for decision making on supply chains

    Christopher Kiekintveld;Michael P. Wellman;Satinder Singh;Joshua Estelle

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

    Adith Boloor;Xin He;Christopher Gill;Yevgeniy Vorobeychik

  • Defending Against Physically Realizable Attacks on Image Classification

    Tong Wu;Liang Tong;Yevgeniy Vorobeychik

  • Stochastic search methods for nash equilibrium approximation in simulation-based games

    Yevgeniy Vorobeychik;Michael P. Wellman

  • Security games with limited surveillance

    Bo An;David Kempe;Christopher Kiekintveld;Eric Shieh

  • Data-Driven Agent-Based Modeling, with Application to Rooftop Solar Adoption

    Haifeng Zhang;Yevgeniy Vorobeychik;Joshua Letchford;Kiran Lakkaraju

  • Computing solutions in infinite-horizon discounted adversarial patrolling games

    Yevgeniy Vorobeychik;Bo An;Milind Tambe;Satinder Singh

  • Equilibrium analysis of dynamic bidding in sponsored search auctions

    Yevgeniy Vorobeychik;Daniel M. Reeves

  • Improving robustness of ML classifiers against realizable evasion attacks using conserved features

    Liang Tong;Bo Li;Chen Hajaj;Chaowei Xiao

Frequent Co-Authors

Xenofon Koutsoukos
Xenofon Koutsoukos Vanderbilt University
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Michael P. Wellman
Michael P. Wellman University of Michigan–Ann Arbor
Milind Tambe
Milind Tambe Harvard University
Christopher Kiekintveld
Christopher Kiekintveld The University of Texas at El Paso
Satinder Singh
Satinder Singh DeepMind (United Kingdom)
Murat Kantarcioglu
Murat Kantarcioglu The University of Texas at Dallas
Bo An
Bo An Nanyang Technological University
Ellen Wright Clayton
Ellen Wright Clayton Vanderbilt University Medical Center
David Kempe
David Kempe University of Southern California

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