activity
20172023
most citedNoether: The More Things Change, the More Stay the Same

5 citations · 7 across the 10 of their papers we have counts for

collaborators

11 papers

cs.LG2023

Bayes Complexity of Learners vs Overfitting

Grzegorz Głuch, Rudiger Urbanke

We introduce a new notion of complexity of functions and we show that it has the following properties: (i) it governs a PAC Bayes-like generalization bound, (ii) for neural network…

quant-ph2023

Nonlocality under Computational Assumptions

Khashayar Barooti, Alexandru Gheorghiu, Grzegorz Głuch +1

Nonlocality and its connections to entanglement are fundamental features of quantum mechanics that have found numerous applications in quantum information science. A set of correla…

quant-ph2021

Provable Adversarial Robustness in the Quantum Model

Khashayar Barooti, Grzegorz Głuch, Ruediger Urbanke

Modern machine learning systems have been applied successfully to a variety of tasks in recent years but making such systems robust against adversarially chosen modifications of in…

cs.LG2021★ 5 cited

Noether: The More Things Change, the More Stay the Same

Grzegorz Głuch, Rüdiger Urbanke

Symmetries have proven to be important ingredients in the analysis of neural networks. So far their use has mostly been implicit or seemingly coincidental. We undertake a systemati…

cs.LG2021

Adversarial Robustness: What fools you makes you stronger

Grzegorz Głuch, Rüdiger Urbanke

We prove an exponential separation for the sample complexity between the standard PAC-learning model and a version of the Equivalence-Query-learning model. We then show that this s…

cs.DS2021

Spectral Clustering Oracles in Sublinear Time

Grzegorz Gluch, Michael Kapralov, Silvio Lattanzi +2

Given a graph that can be partitioned into disjoint expanders with outer conductance upper bounded by , can we efficiently construct a small space data structure th…

cs.LG2020★ 1 cited

Query complexity of adversarial attacks

Grzegorz Głuch, Rüdiger Urbanke

There are two main attack models considered in the adversarial robustness literature: black-box and white-box. We consider these threat models as two ends of a fine-grained spectru…

cs.LG2019

Constructing a provably adversarially-robust classifier from a high accuracy one

Grzegorz Głuch, Rüdiger Urbanke

Modern machine learning models with very high accuracy have been shown to be vulnerable to small, adversarially chosen perturbations of the input. Given black-box access to a high-…

cs.DB2018

The First Order Truth behind Undecidability of Regular Path Queries Determinacy

Grzegorz Głuch, Jerzy Marcinkowski, Piotr Ostropolski-Nalewaja

In our paper [Głuch, Marcinkowski, Ostropolski-Nalewaja, LICS ACM, 2018] we have solved an old problem stated in [Calvanese, De Giacomo, Lenzerini, Vardi, SPDS ACM, 2000] showing t…

cs.DB2018★ 1 cited

Can One Escape Red Chains? Regular Path Queries Determinacy is Undecidable

Grzegorz Głuch, Jerzy Marcinkowski, Piotr Ostropolski-Nalewaja

For a given set of queries (which are expressions in some query language) , and for another query we say that determines…

cs.DS2017

4/3 Rectangle Tiling lower bound

Grzegorz Głuch, Krzysztof Loryś

The problem that we consider is the following: given an array of positive numbers, find a tiling using at most rectangles (which means that each array element…