Publications

Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes
Joonhyuk Ko (UVA), Juba Ziani (Georgia Tech), Saswat Das, Matt Williams (RTI International), Ferdinando Fioretto (UVA)
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Low-rank finetuning for LLMs: A fairness perspective
Saswat Das, Marco Romanelli (NYU), Cuong Tran (Dyania Health), Zarreen Reza (OpenMined), Bhavya Kailkhura (LLNL), Ferdinando Fioretto (UVA)
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Disparate Impact on Group Accuracy of Linearization for Private Inference
Saswat Das, Marco Romanelli (NYU), Ferdinando Fioretto (UVA)
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Finding ε and δ of Statistical Disclosure Control Systems
Saswat Das, Keyu Zhu (Georgia Tech), Christine Task (Knexus Research), Pascal van Hentenryck (Georgia Tech), Ferdinando Fioretto (UVA)
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Advances in Differential Privacy and Differentially Private Machine Learning - A Survey
Saswat Das, Subhankar Mishra (National Institute of Science Education and Research)
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Fair Context-Aware Privacy Threat Modelling
Saswat Das, Rakshit Naidu (Carnegie Mellon University)
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