How unfair is private learning? - Amartya Sanyal; Yaxi Hu; Fanny Yang (UAI, 2022)

Provable Privacy with Non-Private Pre-Processing. - Yaxi Hu; Amartya Sanyal; Bernhard Schölkopf (ICML, 2024)

PILLAR: How to make semi-private learning more effective. - Francesco Pinto; Yaxi Hu; Fanny Yang; Amartya Sanyal (SaTML, 2024)

Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. - Amartya Sanyal; Yaxi Hu; Yaodong Yu; Yian Ma; Yixin Wang; Bernhard Schölkopf (AISTATS, 2025)

Differentially Private Steering for Large Language Model Alignment. - Anmol Goel; Yaxi Hu; Iryna Gurevych; Amartya Sanyal (ICLR, 2025)

Online Learning and Unlearning. - Yaxi Hu; Bernhard Schölkopf; Amartya Sanyal (CoRR, 2025)