Emerging 6G/B6G wireless communication for the power infrastructure in smart cities: Innovations, challenges, and future perspectives
A well-functioning smart grid is an essential part of an efficient and uninterrupted power
supply for the key enablers of smart cities. To effectively manage the operations of a smart …
supply for the key enablers of smart cities. To effectively manage the operations of a smart …
Desmp: Differential privacy-exploited stealthy model poisoning attacks in federated learning
Federated learning (FL) has become an emerging machine learning technique lately due to
its efficacy in safeguarding the client's confidential information. Nevertheless, despite the …
its efficacy in safeguarding the client's confidential information. Nevertheless, despite the …
Brnes: Enabling security and privacy-aware experience sharing in multiagent robotic and autonomous systems
Although experience sharing (ES) accelerates multiagent reinforcement learning (MARL) in
an advisor-advisee framework, attempts to apply ES to decentralized multiagent systems …
an advisor-advisee framework, attempts to apply ES to decentralized multiagent systems …
Rampart: Reinforcing autonomous multi-agent protection through adversarial resistance in transportation
In the field of multi-agent autonomous transportation, such as automated payload delivery or
highway on-ramp merging, agents routinely exchange knowledge to optimize their shared …
highway on-ramp merging, agents routinely exchange knowledge to optimize their shared …
Differential privacy data release scheme using microaggregation with conditional feature selection
Differential privacy (DP) has achieved great progress in addressing the user privacy
preservation issues related to data analysis in the Internet of Things (IoT) services and …
preservation issues related to data analysis in the Internet of Things (IoT) services and …
A resource allocation scheme for energy demand management in 6g-enabled smart grid
Smart grid (SG) systems enhance grid resilience and efficient operation, leveraging the
bidirectional flow of energy and information between generation facilities and prosumers …
bidirectional flow of energy and information between generation facilities and prosumers …
Hiding in plain sight: Differential privacy noise exploitation for evasion-resilient localized poisoning attacks in multiagent reinforcement learning
Lately, differential privacy (DP) has been introduced in cooperative multiagent reinforcement
learning (CMARL) to safe-guard the agents' privacy against adversarial inference during …
learning (CMARL) to safe-guard the agents' privacy against adversarial inference during …
Privacy cost optimization of smart meters using URLLC and demand side energy trading
In this article, we consider ultra-reliable low-latency communication (URLLC) for efficient
energy trading over a smart grid (SG) network using home-based smart meters (SM). We …
energy trading over a smart grid (SG) network using home-based smart meters (SM). We …
Adversarial analysis of the differentially-private federated learning in cyber-physical critical infrastructures
Federated Learning (FL) has become increasingly popular to perform data-driven analysis
in cyber-physical critical infrastructures. Since the FL process may involve the client's …
in cyber-physical critical infrastructures. Since the FL process may involve the client's …
Preserving Smart Grid Integrity: A Differential Privacy Framework for Secure Detection of False Data Injection Attacks in the Smart Grid
In this paper, we present a framework based on differential privacy (DP) for querying electric
power measurements to detect system anomalies or bad data caused by false data …
power measurements to detect system anomalies or bad data caused by false data …