43 citations · 153 across the 29 of their papers we have counts for
8 papers · 1 filter
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…
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…
Privacy-Preserving Adversarial Network (PPAN) for Continuous non-Gaussian Attributes
Mohammadhadi Shateri, Fabrice Labeau
A privacy-preserving adversarial network (PPAN) was recently proposed as an information-theoretical framework to address the issue of privacy in data sharing. The main idea of this…
Privacy-Cost Management in Smart Meters Using Deep Reinforcement Learning
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Smart meters (SMs) play a pivotal rule in the smart grid by being able to report the electricity usage of consumers to the utility provider (UP) almost in real-time. However, this…