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Ziani, Juba
13 publications
AISTATS
2025
Differentially Private Graph Data Release: Inefficiencies & Unfairness
Ferdinando Fioretto
,
Diptangshu Sen
,
Juba Ziani
AAAI
2025
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
Joonhyuk Ko
,
Juba Ziani
,
Saswat Das
,
Matt Williams
,
Ferdinando Fioretto
NeurIPS
2025
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
Valia Efthymiou
,
Chara Podimata
,
Diptangshu Sen
,
Juba Ziani
TMLR
2025
Producers Equilibria and Dynamics in Engagement-Driven Recommender Systems
Krishna Acharya
,
Varun Vangala
,
Jingyan Wang
,
Juba Ziani
NeurIPS
2024
Bayesian Strategic Classification
Lee Cohen
,
Saeed Sharifi-Malvajerdi
,
Kevin Stang1
,
Ali Vakilian
,
Juba Ziani
ICLR
2024
Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya
,
Eshwar Ram Arunachaleswaran
,
Sampath Kannan
,
Aaron Roth
,
Juba Ziani
ICLRW
2024
Personalized Differential Privacy for Ridge Regression
Krishna Acharya
,
Franziska Boenisch
,
Rakshit Naidu
,
Juba Ziani
NeurIPSW
2023
Oracle Efficient Algorithms for Groupwise Regret
Krishna Acharya
,
Eshwar Ram Arunachaleswaran
,
Juba Ziani
,
Aaron Roth
,
Sampath Kannan
ICMLW
2023
Randomized Quantization Is All You Need for Differential Privacy in Federated Learning
Yeojoon Youn
,
Zihao Hu
,
Juba Ziani
,
Jacob Abernethy
ICML
2023
Sequential Strategic Screening
Lee Cohen
,
Saeed Sharifi -Malvajerdi
,
Kevin Stangl
,
Ali Vakilian
,
Juba Ziani
ICML
2022
Information Discrepancy in Strategic Learning
Yahav Bechavod
,
Chara Podimata
,
Steven Wu
,
Juba Ziani
AISTATS
2021
Gaming Helps! Learning from Strategic Interactions in Natural Dynamics
Yahav Bechavod
,
Katrina Ligett
,
Steven Wu
,
Juba Ziani
AAAI
2018
Non-Exploitable Protocols for Repeated Cake Cutting
Omer Tamuz
,
Shai Vardi
,
Juba Ziani