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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
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
482022
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
252022
Dictator functions maximize mutual information
G Pichler, P Piantanida, G Matz
172018
Perfectly accurate membership inference by a dishonest central server in federated learning
G Pichler, M Romanelli, LR Vega, P Piantanida
IEEE Transactions on Dependable and Secure Computing, 2023
152023
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
142016
Distributed information-theoretic clustering
G Pichler, P Piantanida, G Matz
Information and Inference: A Journal of the IMA 11 (1), 137-166, 2022
122022
On the estimation of information measures of continuous distributions
G Pichler, P Piantanida, G Koliander
arXiv preprint arXiv:2002.02851, 2020
112020
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
92016
Distributed information-theoretic biclustering of two memoryless sources
G Pichler, P Piantanida, G Matz
2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015
72015
A data-driven measure of relative uncertainty for misclassification detection
E Dadalto, M Romanelli, G Pichler, P Piantanida
arXiv preprint arXiv:2306.01710, 2023
62023
Bounding information leakage in machine learning
G Del Grosso, G Pichler, C Palamidessi, P Piantanida
Neurocomputing 534, 1-17, 2023
62023
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
Privacy-preserving synthetic smart meters data
G Del Grosso, G Pichler, P Piantanida
2021 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2021
32021
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
Entropy for singular distributions
G Pichler, G Koliander, E Riegler, F Hlawatsch
2014 IEEE International Symposium on Information Theory, 2484-2488, 2014
32014
On the (In) feasibility of ML Backdoor Detection as an Hypothesis Testing Problem
G Pichler, M Romanelli, DP Manivannan, P Krishnamurthy, S Garg
International Conference on Artificial Intelligence and Statistics, 4051-4059, 2024
12024
Clustering by mutual information
G Pichler
Technische Universität Wien, 2017
12017
Information theory on rectifiable sets
G Pichler
12013
Beyond the Norms: Detecting Prediction Errors in Regression Models
A Altieri, M Romanelli, G Pichler, F Alberge, P Piantanida
arXiv preprint arXiv:2406.06968, 2024
2024
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