3 papers
cs.LG2026
High-Dimensional Robust Mean Estimation with Untrusted Batches
Maryam Aliakbarpour, Vladimir Braverman, Yuhan Liu +1
We study high-dimensional mean estimation in a collaborative setting where data is contributed by users in batches of size . In this environment, a learner seeks to recover…
quant-ph2025
Shadow Tomography Against Adversaries
Maryam Aliakbarpour, Vladimir Braverman, Nai-Hui Chia +4
We study single-copy shadow tomography in the adversarial robust setting, where the goal is to learn the expectation values of observables with …
quant-ph2025
Adversarially robust quantum state learning and testing
Maryam Aliakbarpour, Vladimir Braverman, Nai-Hui Chia +1
Quantum state learning is a fundamental problem in physics and computer science. As near-term quantum devices are error-prone, it is important to design error-resistant algorithms.…