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ORCIDLuca Arnaboldi 0001
Person information
- affiliation: University of Birmingham, UK
- affiliation (former): University of Edinburgh, UK
- affiliation (former): Newcastle University, Newcastle upon Tyne, UK
Other persons with the same name
- Luca Arnaboldi 0002
![[0009-0001-9739-8849]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0001-9739-8849")
— École Polytechnique Fédérale de Lausanne (EPFL), IdePHICS Lab, Lausanne, Switzerland - Luca Arnaboldi 0003 — Politecnico di Milano, Milano, Italy
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2020 – today
- 2024
[c11]Roberto Metere, Ricardo M. Czekster, Luca Arnaboldi:
Enhancing Expressiveness in Stochastic Modelling of Cyber-Physical Systems. MECO 2024: 1-4- [i14]Matthew L. Daggitt, Wen Kokke, Robert Atkey, Natalia Slusarz, Luca Arnaboldi, Ekaterina Komendantskaya:
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs. CoRR abs/2401.06379 (2024) - [i13]Marco Casadio, Tanvi Dinkar, Ekaterina Komendantskaya, Luca Arnaboldi, Omri Isac, Matthew L. Daggitt, Guy Katz, Verena Rieser, Oliver Lemon:
NLP Verification: Towards a General Methodology for Certifying Robustness. CoRR abs/2403.10144 (2024) - 2023
- [j2]Ronny Bogani, Andreas Theodorou, Luca Arnaboldi, Robert H. Wortham:
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements. AI Ethics 3(4): 1135-1142 (2023) - [j1]Artur Sokolovsky, Luca Arnaboldi:
A generic methodology for the statistically uniform & comparable evaluation of Automated Trading Platform components. Expert Syst. Appl. 223: 119836 (2023) - [c10]Matthew L. Daggitt, Wen Kokke, Ekaterina Komendantskaya, Robert Atkey, Luca Arnaboldi, Natalia Slusarz, Marco Casadio, Ben Coke, Jeonghyeon Lee:
The Vehicle Tutorial: Neural Network Verification with Vehicle. FoMLAS@CAV 2023: 1-5 - [c9]Marco Casadio, Luca Arnaboldi, Matthew L. Daggitt, Omri Isac, Tanvi Dinkar, Daniel Kienitz, Verena Rieser, Ekaterina Komendantskaya:
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification. FoMLAS@CAV 2023: 59-70 - [c8]Matthew L. Daggitt, Robert Atkey, Wen Kokke, Ekaterina Komendantskaya, Luca Arnaboldi:
Compiling Higher-Order Specifications to SMT Solvers: How to Deal with Rejection Constructively. CPP 2023: 102-120 - [c7]Luca Arnaboldi, David Aspinall, Christina Kolb, Sasa Radomirovic:
Tactics for Account Access Graphs. ESORICS (3) 2023: 452-470 - [i12]Marco Casadio, Luca Arnaboldi, Matthew L. Daggitt, Omri Isac, Tanvi Dinkar, Daniel Kienitz, Verena Rieser, Ekaterina Komendantskaya:
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification. CoRR abs/2305.04003 (2023) - 2022
- [c6]Roberto Metere, Luca Arnaboldi:
Automating Cryptographic Protocol Language Generation from Structured Specifications. FormaliSE@ICSE 2022: 91-101 - [c5]Luca Arnaboldi, David Aspinall:
Towards Interdependent Safety Security Assessments Using Bowties. SAFECOMP Workshops 2022: 211-229 - [i11]Matthew L. Daggitt, Wen Kokke, Robert Atkey, Luca Arnaboldi, Ekaterina Komendantskaya:
Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers. CoRR abs/2202.05207 (2022) - [i10]Marco Casadio, Ekaterina Komendantskaya, Verena Rieser, Matthew L. Daggitt, Daniel Kienitz, Luca Arnaboldi, Wen Kokke:
Why Robust Natural Language Understanding is a Challenge. CoRR abs/2206.14575 (2022) - [i9]Luca Arnaboldi, David Aspinall:
Towards Interdependent Safety Security Assessments using Bowties. CoRR abs/2208.03484 (2022) - 2021
- [i8]Artur Sokolovsky, Luca Arnaboldi, Jaume Bacardit, Thomas Gross:
Interpretable ML-driven Strategy for Automated Trading Pattern Extraction. CoRR abs/2103.12419 (2021) - [i7]Luca Arnaboldi, Charles Morisset:
A Review of Intrusion Detection Systems and Their Evaluation in the IoT. CoRR abs/2105.08096 (2021) - [i6]Roberto Metere, Luca Arnaboldi:
MetaCP: Cryptographic Protocol Design Tool for Formal Verification. CoRR abs/2105.09150 (2021) - 2020
- [i5]Artur Sokolovsky, Luca Arnaboldi:
Machine Learning Classification of Price Extrema Based on Market Microstructure Features: A Case Study of S&P500 E-mini Futures. CoRR abs/2009.09993 (2020)
2010 – 2019
- 2019
- [c4]Luca Arnaboldi, Roberto Metere:
Poster: Towards a Data Centric Approach for the Design and Verification of Cryptographic Protocols. CCS 2019: 2585-2587 - [c3]Luca Arnaboldi, Ricardo M. Czekster, Charles Morisset, Roberto Metere:
Modelling Load-Changing Attacks in Cyber-Physical Systems. PASM 2019: 39-60 - [i4]Luca Arnaboldi, Charles Morisset:
Generating Synthetic Data for Real World Detection of DoS Attacks in the IoT. CoRR abs/1901.08421 (2019) - [i3]Luca Arnaboldi, Roberto Metere:
Towards a Data Centric Approach for the Design and Verification of Cryptographic Protocols. CoRR abs/1910.02656 (2019) - [i2]Luca Arnaboldi, Ricardo M. Czekster, Roberto Metere, Charles Morisset:
Modelling Load-Changing Attacks in Cyber-Physical Systems. CoRR abs/1911.12757 (2019) - 2018
- [c2]Luca Arnaboldi, Charles Morisset:
Generating Synthetic Data for Real World Detection of DoS Attacks in the IoT. STAF Workshops 2018: 130-145 - 2017
- [c1]Luca Arnaboldi, Charles Morisset:
Quantitative Analysis of DoS Attacks and Client Puzzles in IoT Systems. STM 2017: 224-233 - [i1]Luca Arnaboldi, Charles Morisset:
Quantitative Analysis of DoS Attacks and Client Puzzles in IoT Systems. CoRR abs/1710.11021 (2017)
Coauthor Index
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