43 citations · 111 across the 9 of their papers we have counts for
9 papers
Preserving Privacy in GANs Against Membership Inference Attack
Mohammadhadi Shateri, Francisco Messina, Fabrice Labeau +1
Generative Adversarial Networks (GANs) have been widely used for generating synthetic data for cases where there is a limited size real-world dataset or when data holders are unwil…
MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors
Federica Granese, Marine Picot, Marco Romanelli +2
Detection of adversarial examples has been a hot topic in the last years due to its importance for safely deploying machine learning algorithms in critical applications. However, 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…
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…
Real-Time Privacy-Preserving Data Release for Smart Meters
Mohammadhadi Shateri, Francisco Messina, Pablo Piantanida +1
Smart Meters (SMs) are able to share the power consumption of users with utility providers almost in real-time. These fine-grained signals carry sensitive information about users,…