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ORCIDEdoardo Manino
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Books and Theses
- 2020
[b1]Edoardo Manino:
On the efficiency of data collection and aggregation for the combination of multiple classifiers. University of Southampton, UK, 2020
Journal Articles
- 2024
- [j4]João Batista Pereira Matos Jr., Eddie B. de Lima Filho
, Iury Bessa, Edoardo Manino, Xidan Song, Lucas C. Cordeiro:
Counterexample Guided Neural Network Quantization Refinement. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(4): 1121-1134 (2024) - 2023
- [j3]Edoardo Manino, Iury Bessa, Lucas C. Cordeiro:
Towards global neural network abstractions with locally-exact reconstruction. Neural Networks 165: 344-357 (2023) - 2022
- [j2]Fatimah K. Aljaafari, Rafael Menezes, Edoardo Manino, Fedor Shmarov, Mustafa A. Mustafa, Lucas C. Cordeiro:
Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs. IEEE Access 10: 121365-121384 (2022) - 2019
- [j1]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
On the efficiency of data collection for multiple Naïve Bayes classifiers. Artif. Intell. 275: 356-378 (2019)
Conference and Workshop Papers
- 2024
- [c9]Rafael Sá Menezes, Mohannad Aldughaim, Bruno Farias, Xianzhiyu Li, Edoardo Manino, Fedor Shmarov, Kunjian Song, Franz Brauße, Mikhail R. Gadelha, Norbert Tihanyi, Konstantin Korovin, Lucas C. Cordeiro:
ESBMC v7.4: Harnessing the Power of Intervals - (Competition Contribution). TACAS (3) 2024: 376-380 - 2023
- [c8]Edoardo Manino, Bernardo Magri, Mustafa A. Mustafa, Lucas C. Cordeiro:
Certified Private Inference on Neural Networks via Lipschitz-Guided Abstraction Refinement. FoMLAS@CAV 2023: 35-46 - [c7]Fatimah Aljaafari, Fedor Shmarov, Edoardo Manino, Rafael Menezes, Lucas C. Cordeiro:
EBF 4.2: Black-Box Cooperative Verification for Concurrent Programs - (Competition Contribution). TACAS (2) 2023: 541-546 - 2022
- [c6]Edoardo Manino, Danilo S. Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas C. Cordeiro:
EnnCore: End-to-End Conceptual Guarding of Neural Architectures. SafeAI@AAAI 2022 - [c5]Edoardo Manino, Julia Rozanova, Danilo S. Carvalho, André Freitas, Lucas C. Cordeiro:
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. ACL (Findings) 2022: 2355-2366 - [c4]João Batista Pereira Matos Jr., Iury Bessa, Edoardo Manino, Xidan Song, Lucas C. Cordeiro:
CEG4N: Counter-Example Guided Neural Network Quantization Refinement. NSV/FoMLAS@CAV 2022: 29-45 - 2019
- [c3]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Streaming Bayesian Inference for Crowdsourced Classification. NeurIPS 2019: 12762-12772 - 2018
- [c2]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
On the Efficiency of Data Collection for Crowdsourced Classification. IJCAI 2018: 1568-1575 - 2017
- [c1]Edoardo Manino, Nicola Gatti, Marcello Restelli:
Designing Learning Algorithms over the Sequence Form of an Extensive-Form Game. AAMAS 2017: 1622-1624
Data and Artifacts
- 2023
- [d1]Edoardo Manino, Bernardo Magri, Mustafa A. Mustafa, Lucas C. Cordeiro:
Certified Private Inference on Neural Networks via Lipschitz-Guided Abstraction Refinement. Zenodo, 2023
Informal and Other Publications
- 2024
- [i17]Yiannis Charalambous, Edoardo Manino, Lucas C. Cordeiro:
Automated Repair of AI Code with Large Language Models and Formal Verification. CoRR abs/2405.08848 (2024) - [i16]Tong Wu, Shale Xiong, Edoardo Manino, Gareth Stockwell, Lucas C. Cordeiro:
Verifying components of Arm(R) Confidential Computing Architecture with ESBMC. CoRR abs/2406.04375 (2024) - [i15]Rafael Sá Menezes, Edoardo Manino, Fedor Shmarov, Mohannad Aldughaim, Rosiane de Freitas, Lucas C. Cordeiro:
Interval Analysis in Industrial-Scale BMC Software Verifiers: A Case Study. CoRR abs/2406.15281 (2024) - [i14]Adrians Skapars, Edoardo Manino, Youcheng Sun, Lucas C. Cordeiro:
Was it Slander? Towards Exact Inversion of Generative Language Models. CoRR abs/2407.11059 (2024) - 2023
- [i13]Tong Wu, Edoardo Manino, Fatimah Aljaafari, Pavlos Petoumenos, Lucas C. Cordeiro:
LF-checker: Machine Learning Acceleration of Bounded Model Checking for Concurrency Verification (Competition Contribution). CoRR abs/2301.09142 (2023) - [i12]Edoardo Manino, Rafael Sá Menezes, Fedor Shmarov, Lucas C. Cordeiro:
NeuroCodeBench: a plain C neural network benchmark for software verification. CoRR abs/2309.03617 (2023) - [i11]Rafael Menezes, Mohannad Aldughaim, Bruno Farias, Xianzhiyu Li, Edoardo Manino, Fedor Shmarov, Kunjian Song, Franz Brauße, Mikhail R. Gadelha, Norbert Tihanyi, Konstantin Korovin, Lucas C. Cordeiro:
ESBMC v7.4: Harnessing the Power of Intervals. CoRR abs/2312.14746 (2023) - 2022
- [i10]Edoardo Manino, Julia Rozanova, Danilo S. Carvalho, André Freitas, Lucas C. Cordeiro:
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. CoRR abs/2204.12316 (2022) - [i9]Fatimah K. Aljaafari, Rafael Menezes, Edoardo Manino, Fedor Shmarov, Mustafa A. Mustafa, Lucas C. Cordeiro:
Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs. CoRR abs/2206.06043 (2022) - [i8]João Batista Pereira Matos Jr., Iury Bessa, Edoardo Manino, Xidan Song, Lucas C. Cordeiro:
CEG4N: Counter-Example Guided Neural Network Quantization Refinement. CoRR abs/2207.04231 (2022) - [i7]Edoardo Manino, Iury Bessa, Lucas C. Cordeiro:
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction. CoRR abs/2210.12054 (2022) - [i6]Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas:
Montague semantics and modifier consistency measurement in neural language models. CoRR abs/2212.04310 (2022) - 2021
- [i5]Luiz H. Sena, Xidan Song, Erickson H. da S. Alves, Iury Bessa, Edoardo Manino, Lucas C. Cordeiro:
Verifying Quantized Neural Networks using SMT-Based Model Checking. CoRR abs/2106.05997 (2021) - [i4]Xidan Song, Edoardo Manino, Luiz H. Sena, Erickson H. da S. Alves, Eddie Batista de Lima Filho, Iury Bessa, Mikel Luján, Lucas C. Cordeiro:
QNNVerifier: A Tool for Verifying Neural Networks using SMT-Based Model Checking. CoRR abs/2111.13110 (2021) - 2020
- [i3]Guillermo Romero Moreno, Edoardo Manino, Long Tran-Thanh, Markus Brede:
Zealotry and Influence Maximization in the Voter Model: When to Target Zealots? CoRR abs/2008.10012 (2020) - 2019
- [i2]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Streaming Bayesian Inference for Crowdsourced Classification. CoRR abs/1911.05712 (2019) - 2016
- [i1]Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings:
Efficiency of active learning for the allocation of workers on crowdsourced classification tasks. CoRR abs/1610.06106 (2016)
Coauthor Index
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