12 citations · 16 across the 20 of their papers we have counts for
23 papers
The Double-Edged Sword of Information: Revealed versus Hidden Lotteries in School Choice
Parinaz Naghizadeh, Jingyan Wang
In school choice, a lottery number is often used by the matching mechanism to break ties when there are more students who prefer the same school than the number of seats available.…
Personalized and Trust-Aware Health Recommendation Policies for a Construction Workplace
Atefeh Mollabagher, Yogesh Gautam, Houtan Jebelli +1
Construction workers face workplace risks such as fatigue, heat stress, and other physically demanding conditions that can negatively affect their health and safety. Although monit…
Decision-Focused Learning in Network Interdiction Games
Luca M. Hartmann, Parinaz Naghizadeh
We study decision-focused learning (DFL) in shortest-path network interdiction (SPNI) games, a Stackelberg game where an interdictor (leader) strengthens the networks' arcs against…
Rethinking Learning-Based Influence Maximization: Simple Neural Surrogates and Native Discrete Search
Yiqiao Liao, Parinaz Naghizadeh
Existing learning-based influence maximization frameworks rely heavily on complex neural architectures and continuous optimization over seed representations. We challenge this para…
Coordination Games on Multiplex Networks: Consensus, Convergence, and Stability of Opinion Dynamics
Ruey-An Shiu, Parinaz Naghizadeh
This paper studies opinion dynamics in multilayer networks. Extending a single-layer model, we formulate opinion updates as a synchronous coordination game in which agents minimize…
Reactive Users vs. Social Recommender Systems: Managing Opinion Drifts with Adaptive Policies
Atefeh Mollabagher, Parinaz Naghizadeh
Recommendation systems are used in a range of platforms to maximize user engagement through personalization, promotion of popular content, and the use of information from social ne…
Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing
Yifan Yang, Yang Liu, Parinaz Naghizadeh
The performance of algorithmic decision rules is largely dependent on the quality of training datasets available to them. Biases in these datasets can raise economic and ethical co…
The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies
Raman Ebrahimi, Kristen Vaccaro, Parinaz Naghizadeh
When humans are subject to an algorithmic decision system, they can strategically adjust their behavior accordingly (``game'' the system). While a growing line of literature on str…
Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
Yifan Yang, Ali Payani, Parinaz Naghizadeh
Federated Learning (FL) has been a pivotal paradigm for collaborative training of machine learning models across distributed datasets. In heterogeneous settings, it has been observ…
Generalization Error Bounds for Learning under Censored Feedback
Yifan Yang, Ali Payani, Parinaz Naghizadeh
Generalization error bounds from learning theory provide statistical guarantees on how well an algorithm will perform on previously unseen data. In this paper, we characterize the…
United We Fall: On the Nash Equilibria of Multiplex and Multilayer Network Games
Raman Ebrahimi, Parinaz Naghizadeh
Network games provide a framework to study strategic decision making processes that are governed by structured interdependencies among agents. However, existing models do not accou…
An advantage based policy transfer algorithm for reinforcement learning with measures of transferability
Md Ferdous Alam, Parinaz Naghizadeh, David Hoelzle
Reinforcement learning (RL) enables sequential decision-making in complex and high-dimensional environments through interaction with the environment. In most real-world application…
Robust Control Barrier Functions for Sampled-Data Systems
Pradeep Sharma Oruganti, Parinaz Naghizadeh, Qadeer Ahmed
This paper studies the problem of safe control of sampled-data systems under bounded disturbance and measurement errors with piecewise-constant controllers. To achieve this, we fir…
The Impact of Network Design Interventions on the Security of Interdependent Systems
Pradeep Sharma Oruganti, Parinaz Naghizadeh, Qadeer Ahmed
We study the problem of defending a Cyber-Physical System (CPS) consisting of interdependent components with heterogeneous sensitivity to investments. In addition to the optimal al…
Adaptive Data Debiasing through Bounded Exploration
Yifan Yang, Yang Liu, Parinaz Naghizadeh
Biases in existing datasets used to train algorithmic decision rules can raise ethical and economic concerns due to the resulting disparate treatment of different groups. We propos…
Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs
Mustafa Abdallah, Parinaz Naghizadeh, Ashish R. Hota +3
We consider a system consisting of multiple interdependent assets, and a set of defenders, each responsible for securing a subset of the assets against an attacker. The interdepend…
Adversarial Contract Design for Private Data Commercialization
Parinaz Naghizadeh, Arunesh Sinha
The proliferation of data collection and machine learning techniques has created an opportunity for commercialization of private data by data aggregators. In this paper, we study t…
A Reputation-Based Contract for Repeated Crowdsensing with Costly Verification
Donya G. Dobakhshari, Parinaz Naghizadeh, Mingyan Liu +1
We study a setup in which a system operator hires a sensor to exert costly effort to collect accurate measurements of a value of interest over time. At each time, the sensor is ask…
Provision of Public Goods on Networks: On Existence, Uniqueness, and Centralities
Parinaz Naghizadeh, Mingyan Liu
We consider the provision of public goods on networks of strategic agents. We study different effort outcomes of these network games, namely, the Nash equilibria, Pareto efficient…
Using Private and Public Assessments in Security Information Sharing Agreements
Parinaz Naghizadeh, Mingyan Liu
Information sharing among organizations has been gaining attention as a method for improving cybersecurity. However, the associated disclosure costs act as deterrents for firms' vo…
Closing the Price of Anarchy Gap in the Interdependent Security Game
Parinaz Naghizadeh, Mingyan Liu
The reliability and security of a user in an interconnected system depends on all users' collective effort in security. Consequently, investments in security technologies by strate…
Incentives, Quality, and Risks: A Look Into the NSF Proposal Review Pilot
Parinaz Naghizadeh, Mingyan Liu
The National Science Foundation (NSF) will be experimenting with a new distributed approach to reviewing proposals, whereby a group of principal investigators (PIs) or proposers in…
Perceptions and Truth: A Mechanism Design Approach to Crowd-Sourcing Reputation
Parinaz Naghizadeh, Mingyan Liu
We consider a distributed multi-user system where individual entities possess observations or perceptions of one another, while the truth is only known to themselves, and they migh…