154 citations · 639 across the 138 of their papers we have counts for
15 papers · 1 filter
Protecting Geolocation Privacy of Photo Collections
Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
People increasingly share personal information, including their photos and photo collections, on social media. This information, however, can compromise individual privacy, particu…
Manipulating Elections by Selecting Issues
Jasper Lu, David Kai Zhang, Zinovi Rabinovich +2
Constructive election control considers the problem of an adversary who seeks to sway the outcome of an electoral process in order to ensure that their favored candidate wins. We c…
Deception through Half-Truths
Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik
Deception is a fundamental issue across a diverse array of settings, from cybersecurity, where decoys (e.g., honeypots) are an important tool, to politics that can feature politica…
Adversarial Deep Reinforcement Learning based Adaptive Moving Target Defense
Taha Eghtesad, Yevgeniy Vorobeychik, Aron Laszka
Moving target defense (MTD) is a proactive defense approach that aims to thwart attacks by continuously changing the attack surface of a system (e.g., changing host or network conf…
Computing Equilibria in Binary Networked Public Goods Games
Sixie Yu, Kai Zhou, P. Jeffrey Brantingham +1
Public goods games study the incentives of individuals to contribute to a public good and their behaviors in equilibria. In this paper, we examine a specific type of public goods g…
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
Ren Pang, Hua Shen, Xinyang Zhang +5
Despite their tremendous success in a range of domains, deep learning systems are inherently susceptible to two types of manipulations: adversarial inputs -- maliciously crafted sa…