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Manh-Dung Nguyen

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2020 – today

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2024
[c13]
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  - conf/IEEEares/KountcheANKDPK24
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Djibrilla Amadou Kountché, Jocelyn Aubert, Manh-Dung Nguyen, Natalia Kalfa, Nicola Gregorio Durante, Cristiano Passerini, Stéphane Kuding:
The PRECINCT Ecosystem Platform for Critical Infrastructure Protection: Architecture, Deployment and Transferability. ARES 2024: 167:1-167:8
[c12]
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Manh-Dung Nguyen, Wissam Mallouli, Ana Rosa Cavalli, Edgardo Montes de Oca:
AI4SOAR: A Security Intelligence Tool for Automated Incident Response. ARES 2024: 170:1-170:8
[c11]
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Huu Nghia Nguyen, Manh-Dung Nguyen, Edgardo Montes de Oca:
A Framework for In-network Inference using P4. ARES 2024: 175:1-175:6
[c10]
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  - conf/eucnc/WangSSSNML24
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Shen Wang, Chamara Sandeepa, Thulitha Senevirathna, Bartlomiej Siniarski, Manh-Dung Nguyen, Samuel Marchal, Madhusanka Liyanage:
Towards Accountable and Resilient AI-Assisted Networks: Case Studies and Future Challenges. EuCNC/6G Summit 2024: 818-823
[c9]
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Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Mohamad Ragab, Prachi Bagave, Marcus Westberg, Mehrdad Asadi, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Bartlomiej Siniarski, Madhusanka Liyanage, Vinh Hoa La, Manh-Dung Nguyen, Edgardo Montes de Oca, Tessa Oomen, João Fernando Ferreira Gonçalves, Illija Tanaskovic, Sasa Klopanovic, Nicolas Kourtellis, Claudio Soriente, Jason Pridmore, Ana Rosa Cavalli, Drasko Draskovic, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores:
The SPATIAL Architecture: Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications. ICDCS 2024: 947-959
[c8]
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Abdul-Rasheed Ottun, Rasinthe Marasinghe, Toluwani Elemosho, Mohan Liyanage, Ashfaq Hussain Ahmed, Michell Boerger, Chamara Sandeepa, Thulitha Senevirathna, Vinh Hoa La, Manh-Dung Nguyen, Claudio Soriente, Samuel Marchal, Shen Wang, David Solans Noguero, Nikolay Tcholtchev, Aaron Yi Ding, Huber Flores:
SPATIAL: Practical AI Trustworthiness with Human Oversight. ICDCS 2024: 1427-1430
2023
[c7]
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  - conf/IEEEares/NguyenBVCMO23
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Manh-Dung Nguyen, Anis Bouaziz, Valeria Valdés, Ana Rosa Cavalli, Wissam Mallouli, Edgardo Montes de Oca:
A deep learning anomaly detection framework with explainability and robustness. ARES 2023: 134:1-134:7
[c6]
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Anis Bouaziz, Manh-Dung Nguyen, Valeria Valdés, Ana Rosa Cavalli, Wissam Mallouli:
Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection. ICSOFT 2023: 510-517
2022
[c5]
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  - conf/icst/NguyenLCO22
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Manh-Dung Nguyen, Vinh Hoa La, Ana R. Cavalli, Edgardo Montes de Oca:
Towards improving explainability, resilience and performance of cybersecurity analysis of 5G/IoT networks (work-in-progress paper). ICST Workshops 2022: 7-10
2021
[b1]
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Manh-Dung Nguyen:
Binary-level directed fuzzing for complex vulnerabilities. (Guidage du test en frelatage de codes binaires pour la détection de vulnérabilités logicielles complexes). Grenoble Alpes University, France, 2021
[c4]
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  - conf/kbse/PhamNTMR21
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Van-Thuan Pham, Manh-Dung Nguyen, Quang-Trung Ta, Toby Murray, Benjamin I. P. Rubinstein:
Towards Systematic and Dynamic Task Allocation for Collaborative Parallel Fuzzing. ASE 2021: 1337-1341
2020
[c3]
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Manh-Dung Nguyen, Sébastien Bardin, Richard Bonichon, Roland Groz, Matthieu Lemerre:
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities. RAID 2020: 47-62
[i1]
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  - journals/corr/abs-2002-10751
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Manh-Dung Nguyen, Sébastien Bardin, Richard Bonichon, Roland Groz, Matthieu Lemerre:
Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities. CoRR abs/2002.10751 (2020)

2010 – 2019

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2018
[c2]
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Sergey Mechtaev, Manh-Dung Nguyen, Yannic Noller, Lars Grunske, Abhik Roychoudhury:
Semantic program repair using a reference implementation. ICSE 2018: 129-139
2017
[c1]
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Marcel Böhme, Van-Thuan Pham, Manh-Dung Nguyen, Abhik Roychoudhury:
Directed Greybox Fuzzing. CCS 2017: 2329-2344

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