| 2025 | AAAI | Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. | Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto |
| 2025 | AIES | The Disparate Effects of Partial Information in Bayesian Strategic Learning. | Srikanth Avasarala, Serena Wang, Juba Ziani |
| 2025 | AISTATS | Differentially Private Graph Data Release: Inefficiencies & Unfairness. | Ferdinando Fioretto, Diptangshu Sen, Juba Ziani |
| 2025 | WWW | The Cost of Balanced Training-Data Production in an Online Data Market. | Augustin Chaintreau, Roland Maio, Juba Ziani |
| 2024 | ICLR | Oracle Efficient Algorithms for Groupwise Regret. | Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani |
| 2023 | ICML | Sequential Strategic Screening. | Lee Cohen, Saeed Sharifi-Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani |
| 2022 | ICML | Information Discrepancy in Strategic Learning. | Yahav Bechavod, Chara Podimata, Zhiwei Steven Wu, Juba Ziani |
| 2021 | AISTATS | Gaming Helps! Learning from Strategic Interactions in Natural Dynamics. | Yahav Bechavod, Katrina Ligett, Zhiwei Steven Wu, Juba Ziani |
| 2020 | SIGMETRICS | Third-Party Data Providers Ruin Simple Mechanisms. | Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani |
| 2018 | AAAI | Non-Exploitable Protocols for Repeated Cake Cutting. | Omer Tamuz, Shai Vardi, Juba Ziani |
| 2016 | SIGMETRICS | Joint Data Purchasing and Data Placement in a Geo-Distributed Data Market. | Xiaoqi Ren, Palma London, Juba Ziani, Adam Wierman |