Saswat Das

According to our database, Saswat Das authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes.

Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto

CoRR, 2024

Low-rank finetuning for LLMs: A fairness perspective.

Saswat Das, Marco Romanelli, Cuong Tran, Zarreen Reza, Bhavya Kailkhura, Ferdinando Fioretto

CoRR, 2024

Advances in Differential Privacy and Differentially Private Machine Learning.

Saswat Das, Subhankar Mishra

CoRR, 2024

Disparate Impact on Group Accuracy of Linearization for Private Inference.

Saswat Das, Marco Romanelli, Ferdinando Fioretto

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Finding ε and δ of Traditional Disclosure Control Systems.

Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Privacy and Bias Analysis of Disclosure Avoidance Systems.

Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task

CoRR, 2023

2022

Fair Context-Aware Privacy Threat Modelling.

Saswat Das, Rakshit Naidu

CoRR, 2022