Entropy for singular distributions. - Georg Pichler; Günther Koliander; Erwin Riegler; Franz Hlawatsch (ISIT, 2014)

Distributed information-theoretic biclustering of two memoryless sources. - Georg Pichler; Pablo Piantanida; Gerald Matz (Allerton, 2015)

Distributed information-theoretic biclustering. - Georg Pichler; Pablo Piantanida; Gerald Matz (ISIT, 2016)

A Tight Upper Bound on the Mutual Information of Two Boolean Functions. - Georg Pichler; Gerald Matz; Pablo Piantanida (ITW, 2016)

Two Dictator Functions Maximize Mutual Information. - Georg Pichler; Pablo Piantanida; Gerald Matz (CoRR, 2016)

Entropy and Source Coding for Integer-Dimensional Singular Random Variables. - Günther Koliander; Georg Pichler; Erwin Riegler; Franz Hlawatsch (IEEE Trans. Inf. Theory, 2016)

A multiple description CEO problem with log-loss distortion. - Georg Pichler; Pablo Piantanida; Gerald Matz (ISIT, 2017)

Information Bottleneck on General Alphabets. - Georg Pichler; Günther Koliander (ISIT, 2018)

On Direct Distribution Matching for Adapting Segmentation Networks. - Georg Pichler; Jose Dolz; Ismail Ben Ayed; Pablo Piantanida (MIDL, 2020)

On the Estimation of Information Measures of Continuous Distributions. - Georg Pichler; Pablo Piantanida; Günther Koliander (CoRR, 2020)

Privacy-Preserving Synthetic Smart Meters Data. - Ganesh Del Grosso; Georg Pichler; Pablo Piantanida (ISGT, 2021)

Modelling the Utility of Group Testing for Public Health Surveillance. - Günther Koliander; Georg Pichler (CoRR, 2021)

Leveraging Adversarial Examples to Quantify Membership Information Leakage. - Ganesh Del Grosso; Hamid Jalalzai; Georg Pichler; Catuscia Palamidessi; Pablo Piantanida (CVPR, 2022)

A Differential Entropy Estimator for Training Neural Networks. - Georg Pichler; Pierre Jean A. Colombo; Malik Boudiaf; Günther Koliander; Pablo Piantanida (ICML, 2022)

KNIFE: Kernelized-Neural Differential Entropy Estimation. - Georg Pichler; Pierre Colombo; Malik Boudiaf; Günther Koliander; Pablo Piantanida (CoRR, 2022)

Bounding information leakage in machine learning. - Ganesh Del Grosso; Georg Pichler; Catuscia Palamidessi; Pablo Piantanida (Neurocomputing, 2023)

On the (In)feasibility of ML Backdoor Detection as an Hypothesis Testing Problem. - Georg Pichler; Marco Romanelli 002; Divya Prakash Manivannan; Prashanth Krishnamurthy; Farshad Khorrami; Siddharth Garg (AISTATS, 2024)

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection. - Eduardo Dadalto Câmara Gomes; Marco Romanelli 002; Georg Pichler; Pablo Piantanida (ICLR, 2024)

Beyond the Norms: Detecting Prediction Errors in Regression Models. - Andrés Altieri; Marco Romanelli 002; Georg Pichler; Florence Alberge; Pablo Piantanida (ICML, 2024)

Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning. - Georg Pichler; Marco Romanelli 002; Leonardo Rey Vega; Pablo Piantanida (IEEE Trans. Dependable Secur. Comput., 2024)