activity
20172021
most citedNoether: The More Things Change, the More Stay the Same

5 citations · 5 across the 4 of their papers we have counts for

collaborators

8 papers

cs.LG20215 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

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…