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Ozan Özdenizci

4 accepted papers

2022

Domain-Invariant Representation Learning from EEG with Private Encoders

David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt +1
ICASSP 2022accepted

Deep learning based electroencephalography (EEG) signal processing methods are known to suffer from poor test-time generalization due to the changes in data distribution. This becomes a more challenging problem when privacy-preserving representation learning is of interest such as in clinical settin…

Cited by 0Source ↗Scholar ↗
2022

Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching

Ozan Özdenizci, Robert Legenstein
CVPR 2022oral

Deep neural networks (DNNs) have been shown to be vulnerable against adversarial weight bit-flip attacks through hardware-induced fault-injection methods on the memory systems where network parameters are stored. Recent attacks pose the further concerning threat of finding minimal targeted and steal…

Cited by 13PDF ↗code ↗Scholar ↗
2021

Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling

Ozan Özdenizci, Robert Legenstein
ICML 2021spotlight

Deep neural networks have been shown to be susceptible to adversarial attacks. This lack of adversarial robustness is even more pronounced when models are compressed in order to meet hardware limitations. Hence, if adversarial robustness is an issue, training of sparsely connected networks necessita…

Cited by 31Source ↗PDF ↗code ↗Scholar ↗
2017

Pre-movement contralateral EEG low beta power is modulated with motor adaptation learning

Ozan Özdenizci, Mustafa Yalcin, Ahmetcan Erdogan, Volkan Patoglu, Moritz Grosse-Wentrup, Müjdat Çetin
ICASSP 2017accepted

Various neuroimaging studies aim to understand the complex nature of human motor behavior. There exists a variety of experimental approaches to study neurophysiological correlates of performance during different motor tasks. As distinct from studies based on visuomotor learning, we investigate chang…

Cited by 0Source ↗Scholar ↗