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Our paper "Privacy-preserving and accountable billing in peer-to-peer energy trading markets with homomorphic encryption and blockchain" has been published in the Sustainable Energy, Grids and Networks journal.
Our paper "PP-LEM: Efficient and Privacy-Preserving Clearance Mechanism for Local Energy Markets" has been published in the Sustainable Energy, Grids and Networks journal.
Our paper "Single Event Effects Assessment of UltraScale+ MPSoC Systems Under Atmospheric Radiation" has been published in the IEEE Transactions on Reliability journal.
Our paper "Exploring Sparse Visual Odometry Acceleration With High-Level Synthesis" has been published in the IEEE Access journal.
Our paper "A Privacy-Preserving and Accountable Billing Protocol for Peer-to-Peer Energy Trading Markets" has been accepted at the International Conference on Smart Energy Systems and Technologies (SEST 2023).
Our paper "Certified Private Inference on Neural Networks via Lipschitz-Guided Abstraction Refinement" has been accepted at the 6th Workshop on Formal Methods for ML-Enabled Autonomous Systems (FoMLAS 2023).
Our paper "Towards global neural network abstractions with locally-exact reconstruction" has been published in the Neural Networks journal.
Our paper "Learning Disentangled Representations for Natural Language Definitions" has been accepted at the Findings of the European chapter of Association for Computational Linguistics (Findings of EACL), 2023.
Our paper "Interventional Probing in High Dimensions: An NLI Case Study" has been accepted at the Findings of the European chapter of Association for Computational Linguistics (Findings of EACL), 2023.
Our paper "Decentralised and Cooperative Control of Multi-Robot Systems through Distributed Optimisation" has been accepted at the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023).
Our paper "AIREPAIR: A Repair Platform for Neural Networks" has been accepted at the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023).
Our paper "Effect of Clustering in Federated Learning on Non-IID Electricity Consumption Prediction" has been published in the proceedings of IEEE ISGT-Europe 2022.
Our paper "Billing Models for Peer-to-Peer Electricity Trading Markets with Imperfect Bid-Offer Fulfillment" has been published in the proceedings of IEEE ISC2.
Our paper "Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance" has been accepted in the ACM Transactions on Embedding Computing Systems.
Our paper "Short-term Load Forecasting with Distributed Long Short-Term Memory" has been accepted at the 2023 IEEE ISGT North America.
Our paper "Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking" has been accepted in the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022).
We published a new dataset: "Peer-to-Peer, Self-Consumption and Transactive Energy Literature Review Data Extraction Table"