Establishing Network Reputation via Mechanism Design. - Parinaz Naghizadeh Ardabili; Mingyan Liu (GAMENETS, 2012)

Incentives, Quality, and Risks: A Look Into the NSF Proposal Review Pilot. - Parinaz Naghizadeh Ardabili; Mingyan Liu (CoRR, 2013)

Budget balance or voluntary participation? Incentivizing investments in interdependent security games. - Parinaz Naghizadeh; Mingyan Liu (Allerton, 2014)

Can Less Be More? A Game-Theoretic Analysis of Filtering vs. Investment. - Armin Sarabi; Parinaz Naghizadeh; Mingyan Liu (GameSec, 2014)

Closing the price of anarchy gap in the interdependent security game. - Parinaz Naghizadeh; Mingyan Liu (ITA, 2014)

Provision of non-excludable public goods on networks: From equilibrium to centrality measures. - Parinaz Naghizadeh; Mingyan Liu (Allerton, 2015)

Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents. - Yang Liu 018; Armin Sarabi; Jing Zhang 027; Parinaz Naghizadeh; Manish Karir; Michael D. Bailey; Mingyan Liu (USENIX Security Symposium, 2015)

Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles. - Armin Sarabi; Parinaz Naghizadeh; Yang Liu 018; Mingyan Liu (WEIS, 2015)

A Tale of Two Mechanisms: Incentivizing Investments in Security Games. - Parinaz Naghizadeh; Mingyan Liu (CoRR, 2015)

Inter-Temporal Incentives in Security Information Sharing Agreements. - Parinaz Naghizadeh; Mingyan Liu (AAAI Workshop: Artificial Intelligence for Cyber Security, 2016)

Exit equilibrium: Towards understanding voluntary participation in security games. - Parinaz Naghizadeh; Mingyan Liu (INFOCOM, 2016)

On the Role of Public and Private Assessments in Security Information Sharing Agreements. - Parinaz Naghizadeh; Mingyan Liu (CoRR, 2016)

Risky business: Fine-grained data breach prediction using business profiles. - Armin Sarabi; Parinaz Naghizadeh; Yang Liu 018; Mingyan Liu (J. Cybersecur., 2016)

Opting Out of Incentive Mechanisms: A Study of Security as a Non-Excludable Public Good. - Parinaz Naghizadeh; Mingyan Liu (IEEE Trans. Inf. Forensics Secur., 2016)

Perceptions and Truth: A Mechanism Design Approach to Crowd-Sourcing Reputation. - Parinaz Naghizadeh; Mingyan Liu (IEEE/ACM Trans. Netw., 2016)

Embracing risk dependency in designing cyber-insurance contracts. - Mohammad Mahdi Khalili; Parinaz Naghizadeh; Mingyan Liu (Allerton, 2017)

On the uniqueness and stability of equilibria of network games. - Parinaz Naghizadeh; Mingyan Liu (Allerton, 2017)

Designing Cyber Insurance Policies: Mitigating Moral Hazard Through Security Pre-Screening. - Mohammad Mahdi Khalili; Parinaz Naghizadeh; Mingyan Liu (GAMENETS, 2017)

Designing cyber insurance policies in the presence of security interdependence. - Mohammad Mahdi Khalili; Parinaz Naghizadeh; Mingyan Liu (NetEcon@EC, 2017)

Adaptive Fog-Based Output Security for Augmented Reality. - Surin Ahn; Maria Gorlatova; Parinaz Naghizadeh; Mung Chiang; Prateek Mittal (VR/AR Network@SIGCOMM, 2018)

Designing Cyber Insurance Policies: The Role of Pre-Screening and Security Interdependence. - Mohammad Mahdi Khalili; Parinaz Naghizadeh; Mingyan Liu (IEEE Trans. Inf. Forensics Secur., 2018)

Provision of Public Goods on Networks: On Existence, Uniqueness, and Centralities. - Parinaz Naghizadeh; Mingyan Liu (IEEE Trans. Netw. Sci. Eng., 2018)

The Impacts of Behavioral Probability Weighting on Security Investments in Interdependent Systems. - Mustafa Abdallah; Parinaz Naghizadeh; Ashish Ranjan Hota; Timothy N. Cason; Saurabh Bagchi; Shreyas Sundaram (ACC, 2019)

Protecting Assets with Heterogeneous Valuations under Behavioral Probability Weighting. - Mustafa Abdallah; Parinaz Naghizadeh; Timothy N. Cason; Saurabh Bagchi; Shreyas Sundaram (CDC, 2019)

Adversarial Contract Design for Private Data Commercialization. - Parinaz Naghizadeh; Arunesh Sinha (EC, 2019)

Hurts to Be Too Early: Benefits and Drawbacks of Communication in Multi-Agent Learning. - Parinaz Naghizadeh; Maria Gorlatova; Andrew S. Lan; Mung Chiang (INFOCOM, 2019)

Personalized augmented reality via fog-based imitation learning. - Surin Ahn; Maria Gorlatova; Parinaz Naghizadeh; Mung Chiang (IoT-Fog@IoTDI, 2019)

A Reputation-Based Contract for Repeated Crowdsensing With Costly Verification. - Donya Ghavidel Dobakhshari; Parinaz Naghizadeh; Mingyan Liu; Vijay Gupta 001 (IEEE Trans. Signal Process., 2019)

Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap. - Somali Chaterji; Parinaz Naghizadeh; Muhammad Ashraful Alam; Saurabh Bagchi; Mung Chiang; David Corman; Brian J. Henz; Suman Jana; Na Li; Shaoshuai Mou; Meeko Oishi; Chunyi Peng 001; et al. (CoRR, 2020)

BASCPS: How does behavioral decision making impact the security of cyber-physical systems? - Mustafa Abdallah; Daniel Woods; Parinaz Naghizadeh; Issa Khalil; Timothy N. Cason; Shreyas Sundaram; Saurabh Bagchi (CoRR, 2020)

Paid Prioritization with Content Competition. - Parinaz Naghizadeh; Carlee Joe-Wong; Mung Chiang (CoRR, 2020)

Behavioral and Game-Theoretic Security Investments in Interdependent Systems Modeled by Attack Graphs. - Mustafa Abdallah; Parinaz Naghizadeh; Ashish Ranjan Hota; Timothy N. Cason; Saurabh Bagchi; Shreyas Sundaram (IEEE Trans. Control. Netw. Syst., 2020)

Using Private and Public Assessments in Security Information Sharing Agreements. - Parinaz Naghizadeh; Mingyan Liu (IEEE Trans. Inf. Forensics Secur., 2020)

Morshed: Guiding Behavioral Decision-Makers towards Better Security Investment in Interdependent Systems. - Mustafa Abdallah; Daniel Woods; Parinaz Naghizadeh; Issa Khalil; Timothy N. Cason; Shreyas Sundaram; Saurabh Bagchi (AsiaCCS, 2021)

The Impact of Network Design Interventions on CPS Security. - Pradeep Sharma Oruganti; Parinaz Naghizadeh; Qadeer Ahmed (CDC, 2021)

Adaptive Data Debiasing through Bounded Exploration and Fairness. - Yifan Yang; Yang Liu 018; Parinaz Naghizadeh (CoRR, 2021)

Fairness Interventions as (Dis)Incentives for Strategic Manipulation. - Xueru Zhang; Mohammad Mahdi Khalili; Kun Jin; Parinaz Naghizadeh; Mingyan Liu (ICML, 2022)

DiPLe: Learning Directed Collaboration Graphs for Peer-to-Peer Personalized Learning. - Xue Zheng; Parinaz Naghizadeh; Aylin Yener (ITW, 2022)

Adaptive Data Debiasing through Bounded Exploration. - Yifan Yang; Yang Liu 018; Parinaz Naghizadeh (NeurIPS, 2022)

Incentive Mechanisms for Strategic Classification and Regression Problems. - Kun Jin; Xueru Zhang; Mohammad Mahdi Khalili; Parinaz Naghizadeh; Mingyan Liu (EC, 2022)

TASHAROK: Using Mechanism Design for Enhancing Security Resource Allocation in Interdependent Systems. - Mustafa Abdallah; Daniel Woods; Parinaz Naghizadeh; Issa Khalil; Timothy N. Cason; Shreyas Sundaram; Saurabh Bagchi (SP, 2022)

Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria. - Yiqiao Liao; Parinaz Naghizadeh (AAAI, 2023)

United We Fall: On the Nash Equilibria of Multiplex Network Games. - Raman Ebrahimi; Parinaz Naghizadeh (Allerton, 2023)

Safe Control Using High-Order Measurement Robust Control Barrier Functions. - Pradeep Sharma Oruganti; Parinaz Naghizadeh; Qadeer Ahmed (ACC, 2023)

An advantage based policy transfer algorithm for reinforcement learning with metrics of transferability. - Md Ferdous Alam; Parinaz Naghizadeh; David J. Hoelzle (CoRR, 2023)

Could Anticipating Gaming Incentivize Improvement in (Fair) Strategic Classification? - Sura Alhanouti; Parinaz Naghizadeh (CDC, 2024)

Extended Horizons: Multi-hop Awareness in Network Games. - Raman Ebrahimi; Parinaz Naghizadeh (GameSec, 2024)

Generalization Error Bounds for Learning under Censored Feedback. - Yifan Yang; Ali Payani; Parinaz Naghizadeh (CoRR, 2024)

Enhancing Group Fairness in Federated Learning through Personalization. - Yifan Yang; Ali Payani; Parinaz Naghizadeh (CoRR, 2024)

Robust Control Barrier Functions for Sampled-Data Systems. - Pradeep Sharma Oruganti; Parinaz Naghizadeh; Qadeer Ahmed (IEEE Control. Syst. Lett., 2024)

Structured Network Games: Leveraging Relational Information in Equilibrium Analysis. - Kun Jin; Parinaz Naghizadeh; Mingyan Liu (IEEE Trans. Netw. Sci. Eng., 2024)

Interdependent security games in the Stackelberg style: how first-mover advantage impacts free riding and security (under-)investment. - Ziyuan Huang; Parinaz Naghizadeh; Mingyan Liu (J. Cybersecur., 2024)

The Impact of Network Design Interventions on the Security of Interdependent Systems. - Pradeep Sharma Oruganti; Parinaz Naghizadeh; Qadeer Ahmed (IEEE Trans. Control. Netw. Syst., 2024)

The Feedback Loop Between Recommendation Systems and Reactive Users. - Atefeh Mollabagher; Parinaz Naghizadeh (ACC, 2025)

The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies. - Raman Ebrahimi; Kristen Vaccaro; Parinaz Naghizadeh (FAccT, 2025)

Adaptive Bounded Exploration and Intermediate Actions for Data Debiasing. - Yifan Yang; Yang Liu 018; Parinaz Naghizadeh (CoRR, 2025)

Anticipating Gaming to Incentivize Improvement: Guiding Agents in (Fair) Strategic Classification. - Sura Alhanouti; Parinaz Naghizadeh (CoRR, 2025)

Learning for Dynamic Combinatorial Optimization without Training Data. - Yiqiao Liao; Farinaz Koushanfar; Parinaz Naghizadeh (CoRR, 2025)

United We Fall: On the Nash Equilibria of Multiplex and Multilayer Network Games. - Raman Ebrahimi; Parinaz Naghizadeh (IEEE Trans. Control. Netw. Syst., 2025)

Reactive Users vs. Recommendation Systems: An Adaptive Policy to Manage Opinion Drifts. - Atefeh Mollabagher; Parinaz Naghizadeh (CoRR, 2025)