43 citations · 111 across the 9 of their papers we have counts for
4 papers · 1 filter
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…