105 citations · 176 across the 15 of their papers we have counts for
15 papers
Time-Efficient Locally Relevant Geo-Location Privacy Protection
Chenxi Qiu, Ruiyao Liu, Primal Pappachan +2
Geo-obfuscation serves as a location privacy protection mechanism (LPPM), enabling mobile users to share obfuscated locations with servers, rather than their exact locations. This…
Consensus in Complex Networks with Noisy Agents and Peer Pressure
Christopher Griffin, Anna Squicciarini, Feiran Jia
In this paper we study a discrete time consensus model on a connected graph with monotonically increasing peer-pressure and noise perturbed outputs masking a hidden state. We assum…
User Customizable and Robust Geo-Indistinguishability for Location Privacy
Primal Pappachan, Chenxi Qiu, Anna Squicciarini +1
Location obfuscation functions generated by existing systems for ensuring location privacy are monolithic and do not allow users to customize their obfuscation range. This can lead…
RoCourseNet: Distributionally Robust Training of a Prediction Aware Recourse Model
Hangzhi Guo, Feiran Jia, Jinghui Chen +2
Counterfactual (CF) explanations for machine learning (ML) models are preferred by end-users, as they explain the predictions of ML models by providing a recourse (or contrastive)…
Automated Detection of Doxing on Twitter
Younes Karimi, Anna Squicciarini, Shomir Wilson
Doxing refers to the practice of disclosing sensitive personal information about a person without their consent. This form of cyberbullying is an unpleasant and sometimes dangerous…
A Longitudinal Dataset of Twitter ISIS Users
Younes Karimi, Anna Squicciarini, Peter K. Forster +1
We present a large longitudinal dataset of tweets from two sets of users that are suspected to be affiliated with ISIS. These sets of users are identified based on a prior study an…
A Synthetic Prediction Market for Estimating Confidence in Published Work
Sarah Rajtmajer, Christopher Griffin, Jian Wu +13
Explainably estimating confidence in published scholarly work offers opportunity for faster and more robust scientific progress. We develop a synthetic prediction market to assess…
Privacy in Crisis: A study of self-disclosure during the Coronavirus pandemic
Taylor Blose, Prasanna Umar, Anna Squicciarini +1
We study observed incidence of self-disclosure in a large dataset of Tweets representing user-led English-language conversation about the Coronavirus pandemic. Using an unsupervise…
Power Law Public Goods Game for Personal Information Sharing in News Commentaries
Christopher Griffin, Sarah Rajtmajer, Anna Squicciarini +1
We propose a public goods game model of user sharing in an online commenting forum. In particular, we assume that users who share personal information incur an information cost but…
Consensus and Information Cascades in Game-Theoretic Imitation Dynamics with Static and Dynamic Network Topologies
Christopher Griffin, Sarah Rajtmajer, Anna Squicciarini +1
We construct a model of strategic imitation in an arbitrary network of players who interact through an additive game. Assuming a discrete time update, we show a condition under whi…
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
Cong Liao, Haoti Zhong, Anna Squicciarini +2
Deep learning models have consistently outperformed traditional machine learning models in various classification tasks, including image classification. As such, they have become i…
Increasing Peer Pressure on any Connected Graph Leads to Consensus
Justin Semonsen, Christopher Griffin, Anna Squicciarini +1
In this paper, we study a model of opinion dynamics in a social network in the presence increasing interpersonal influence, i.e., increasing peer pressure. Each agent in the social…
A cooperate-defect model for the spread of deviant behavior in social networks
Sarah Rajtmajer, Christopher Griffin, Derek Mikesell +1
We present a game-theoretic model for the spread of deviant behavior in online social networks. We utilize a two-strategy framework wherein each player's behavior is classified as…
Two Species Evolutionary Game Model of User and Moderator Dynamics
Christopher Griffin, Douglas Mercer, James Fan +1
We construct a two species evolutionary game model of an online society consisting of ordinary users and behavior enforcers (moderators). Among themselves, moderators play a coordi…
An Informed Model of Personal Information Release in Social Networking Sites
Anna Squicciarini, Christopher Griffin
The emergence of online social networks and the growing popularity of digital communication has resulted in an increasingly amount of information about individuals available on the…