43 citations · 153 across the 29 of their papers we have counts for
32 papers
Cardiotocography Signal Abnormality Detection based on Deep Unsupervised Models
Julien Bertieaux, Mohammadhadi Shateri, Fabrice Labeau +1
Cardiotocography (CTG) is a key element when it comes to monitoring fetal well-being. Obstetricians use it to observe the fetal heart rate (FHR) and the uterine contraction (UC). T…
Learning Sparse Privacy-Preserving Representations for Smart Meters Data
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Fine-grained Smart Meters (SMs) data recording and communication has enabled several features of Smart Grids (SGs) such as power quality monitoring, load forecasting, fault detecti…
Adversarial Robustness via Fisher-Rao Regularization
Marine Picot, Francisco Messina, Malik Boudiaf +3
Adversarial robustness has become a topic of growing interest in machine learning since it was observed that neural networks tend to be brittle. We propose an information-geometric…
Deep Directed Information-Based Learning for Privacy-Preserving Smart Meter Data Release
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
The explosion of data collection has raised serious privacy concerns in users due to the possibility that sharing data may also reveal sensitive information. The main goal of a pri…
On the Impact of Side Information on Smart Meter Privacy-Preserving Methods
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Smart meters (SMs) can pose privacy threats for consumers, an issue that has received significant attention in recent years. This paper studies the impact of Side Information (SI)…
Privacy-Cost Management in Smart Meters with Mutual Information-Based Reinforcement Learning
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
The rapid development and expansion of the Internet of Things (IoT) paradigm has drastically increased the collection and exchange of data between sensors and systems, a phenomenon…