Fair Context-Aware Privacy Threat Modelling. - Saswat Das; Rakshit Naidu (CoRR, 2022)

Privacy and Bias Analysis of Disclosure Avoidance Systems. - Keyu Zhu; Ferdinando Fioretto; Pascal Van Hentenryck; Saswat Das; Christine Task (CoRR, 2023)

Finding ε and δ of Traditional Disclosure Control Systems. - Saswat Das; Keyu Zhu; Christine Task; Pascal Van Hentenryck; Ferdinando Fioretto (AAAI, 2024)

Disparate Impact on Group Accuracy of Linearization for Private Inference. - Saswat Das; Marco Romanelli 002; Ferdinando Fioretto (ICML, 2024)

Advances in Differential Privacy and Differentially Private Machine Learning. - Saswat Das; Subhankar Mishra (CoRR, 2024)

Low-rank finetuning for LLMs: A fairness perspective. - Saswat Das; Marco Romanelli 002; Cuong Tran 007; Zarreen Reza; Bhavya Kailkhura; Ferdinando Fioretto (CoRR, 2024)

Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes. - Joonhyuk Ko; Juba Ziani; Saswat Das; Matt Williams; Ferdinando Fioretto (AAAI, 2025)

Disclosure Audits for LLM Agents. - Saswat Das; Jameson Sandler; Ferdinando Fioretto (CoRR, 2025)