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Georg Pichler
Georg Pichler
PostDoc researcher, TU Wien, Vienna, Austria
Verified email at tuwien.ac.at
Title
Cited by
Cited by
Year
Dictator functions maximize mutual information
G Pichler, P Piantanida, G Matz
142018
Entropy and source coding for integer-dimensional singular random variables
G Koliander, G Pichler, E Riegler, F Hlawatsch
IEEE Transactions on Information Theory 62 (11), 6124-6154, 2016
132016
Distributed information-theoretic biclustering
G Pichler, P Piantanida, G Matz
2016 IEEE International Symposium on Information Theory (ISIT), 1083-1087, 2016
13*2016
A differential entropy estimator for training neural networks
G Pichler, PJA Colombo, M Boudiaf, G Koliander, P Piantanida
International Conference on Machine Learning, 17691-17715, 2022
112022
A tight upper bound on the mutual information of two Boolean functions
G Pichler, G Matz, P Piantanida
2016 IEEE Information Theory Workshop (ITW), 16-20, 2016
102016
On the estimation of information measures of continuous distributions
G Pichler, P Piantanida, G Koliander
arXiv preprint arXiv:2002.02851, 2020
82020
Leveraging adversarial examples to quantify membership information leakage
G Del Grosso, H Jalalzai, G Pichler, C Palamidessi, P Piantanida
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern†…, 2022
62022
Distributed information-theoretic biclustering of two memoryless sources
G Pichler, P Piantanida, G Matz
2015 53rd Annual Allerton Conference on Communication, Control, and†…, 2015
62015
Information bottleneck on general alphabets
G Pichler, G Koliander
2018 IEEE International Symposium on Information Theory (ISIT), 526-530, 2018
52018
On direct distribution matching for adapting segmentation networks
G Pichler, J Dolz, IB Ayed, P Piantanida
Medical Imaging with Deep Learning, 624-637, 2020
42020
A multiple description CEO problem with log-loss distortion
G Pichler, P Piantanida, G Matz
2017 IEEE International Symposium on Information Theory (ISIT), 111-115, 2017
32017
Bounding information leakage in machine learning
G Del Grosso, G Pichler, C Palamidessi, P Piantanida
Neurocomputing 534, 1-17, 2023
12023
Perfectly Accurate Membership Inference by a Dishonest Central Server in Federated Learning
G Pichler, M Romanelli, LR Vega, P Piantanida
arXiv preprint arXiv:2203.16463, 2022
12022
KNIFE: Kernelized-Neural Differential Entropy Estimation
G Pichler, P Colombo, M Boudiaf, G Koliander, P Piantanida
arXiv preprint arXiv:2202.06618, 2022
12022
Clustering by mutual information
G Pichler
Wien, 2017
12017
Two dictator functions maximize mutual information
G Pichler, P Piantanida, G Matz
CoRR abs/1604.02109, 2016
12016
Entropy for singular distributions
G Pichler, G Koliander, E Riegler, F Hlawatsch
2014 IEEE International Symposium on Information Theory, 2484-2488, 2014
12014
Information theory on rectifiable sets
G Pichler
12013
Privacy-Preserving Synthetic Smart Meters Data
G Del Grosso, G Pichler, P Piantanida
2021 IEEE Power & Energy Society Innovative Smart Grid Technologies†…, 2021
2021
Modelling the utility of group testing for public health surveillance
G Koliander, G Pichler
Infectious Disease Modelling 6, 1009-1024, 2021
2021
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Articles 1–20