Fairness, Accountability, Transparency

[Rastegarpanah et al., 2021]
 
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Bashir Rastegarpanah, Krishna P. Gummadi and Mark Crovella (2021).
Auditing Black-Box Prediction Models for Data Minimization Compliance.
In: Proceedings of NeurIPS. Online. Selected as a Spotlight Presentation (3% acceptance rate).
[Rastegarpanah et al., 2020]
 
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Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi (2020).
Fair Inputs and Fair Outputs: the Incompatibility of Fairness in Privacy and Accuracy.
In: Proceedings of the Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP). Online. doi:10.1145/3386392.3399568
[Spinelli and Crovella, 2020]
 
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Larissa Spinelli and Mark Crovella (2020).
How YouTube Leads Privacy-Seeking Users Away from Reliable Information.
In: Proceedings of the Workshop on Fairness in User Modeling, Adaptation, and Personalization (FairUMAP). Online. doi:10.1145/3386392.3399566
[Rastegarpanah et al., 2019]
 
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Bashir Rastegarpanah, Krishna P. Gummadi and Mark Crovella (2019).
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.
In: Proceedings of WSDM. Melbourne, Australia. doi:10.1145/3289600.3291002
[Spinelli and Crovella, 2018]
 
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Larissa Spinelli and Mark Crovella (2018).
Unravelling the Dynamics of Online Ratings.
In: Proceedings of the 4th International Symposium on Social Media Mining and Analysis (SMMA 2018). Exeter, UK. doi:10.1109/HPCC/SmartCity/DSS.2018.00191
[Rastegarpanah et al., 2017]
 
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Bashir Rastegarpanah, Mark Crovella and Krishna Gummadi (2017).
Exploring Explanations for Matrix Factorization Recommender Systems (Position Paper).
In: Proceedings of the FATREC Workshop on Responsible Recommendation. Como, Italy. Code and demo for this method is available at links below. doi:10.18122/B2R717
[Spinelli and Crovella, 2017]
 
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Larissa Spinelli and Mark Crovella (2017).
Closed-Loop Opinion Formation.
In: Proceedings of the 9th International ACM Web Science Conference (WebSci). Troy, NY. doi:10.1145/3091478.3091483