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Items where Author is "Conti, Mauro"

Items where Author is "Conti, Mauro"

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. defence evasion adversarial attack adversarial example adversarial example transferability Adversarial Machine Learning Causative attacks Command and Control (C2) convolutional neural network Corrupted training sets cyber offense simulation cyber security Cybersecurity Data poisoning Federated learning flow-based network analysis Gaussian Mixture Model Generative Adversarial Networks (GANs) local reachability density machine learning Machine Learning robustness MITRE ATT&CK and MITRE ATLAS ML security evaluation Network Intrusion Detection Systems (NIDS) Packet-Level Traffic Manipulation post-exploitation techniques Red Teaming Stealthy Network Communications
Number of items: 29.

. defence evasion

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

adversarial attack

Stenhuis, Ruben, Liu, Dazhuang, Qiao, Yanqi, Conti, Mauro, Panaousis, Manos ORCID logoORCID: https://orcid.org/0000-0001-7306-4062 and Liang, Kaitai (2025) MeetSafe: enhancing robustness against white-box adversarial examples. Frontiers in Computer Science, 7:1631561. ISSN 2624-9898 (Online) (doi:10.3389/fcomp.2025.1631561)

adversarial example

Stenhuis, Ruben, Liu, Dazhuang, Qiao, Yanqi, Conti, Mauro, Panaousis, Manos ORCID logoORCID: https://orcid.org/0000-0001-7306-4062 and Liang, Kaitai (2025) MeetSafe: enhancing robustness against white-box adversarial examples. Frontiers in Computer Science, 7:1631561. ISSN 2624-9898 (Online) (doi:10.3389/fcomp.2025.1631561)

adversarial example transferability

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Adversarial Machine Learning

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Mohammadreza, Mohammadi, Rahdari, Ahmad, Taheri, Rahim and Conti, Mauro (2025) A random deep feature selection approach to mitigate transferable adversarial attacks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3594253)

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Haider, Imran, Taheri, Rahim and Conti, Mauro (2025) Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3525554)

Causative attacks

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Haider, Imran, Taheri, Rahim and Conti, Mauro (2025) Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3525554)

Command and Control (C2)

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

convolutional neural network

Stenhuis, Ruben, Liu, Dazhuang, Qiao, Yanqi, Conti, Mauro, Panaousis, Manos ORCID logoORCID: https://orcid.org/0000-0001-7306-4062 and Liang, Kaitai (2025) MeetSafe: enhancing robustness against white-box adversarial examples. Frontiers in Computer Science, 7:1631561. ISSN 2624-9898 (Online) (doi:10.3389/fcomp.2025.1631561)

Corrupted training sets

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Haider, Imran, Taheri, Rahim and Conti, Mauro (2025) Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3525554)

cyber offense simulation

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

cyber security

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Mohammadreza, Mohammadi, Rahdari, Ahmad, Taheri, Rahim and Conti, Mauro (2025) A random deep feature selection approach to mitigate transferable adversarial attacks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3594253)

Cybersecurity

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Haider, Imran, Taheri, Rahim and Conti, Mauro (2025) Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3525554)

Data poisoning

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Haider, Imran, Taheri, Rahim and Conti, Mauro (2025) Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3525554)

Federated learning

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Haider, Imran, Taheri, Rahim and Conti, Mauro (2025) Federated learning under attack: exposing vulnerabilities through data poisoning attacks in computer networks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3525554)

flow-based network analysis

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Gaussian Mixture Model

Stenhuis, Ruben, Liu, Dazhuang, Qiao, Yanqi, Conti, Mauro, Panaousis, Manos ORCID logoORCID: https://orcid.org/0000-0001-7306-4062 and Liang, Kaitai (2025) MeetSafe: enhancing robustness against white-box adversarial examples. Frontiers in Computer Science, 7:1631561. ISSN 2624-9898 (Online) (doi:10.3389/fcomp.2025.1631561)

Generative Adversarial Networks (GANs)

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

local reachability density

Stenhuis, Ruben, Liu, Dazhuang, Qiao, Yanqi, Conti, Mauro, Panaousis, Manos ORCID logoORCID: https://orcid.org/0000-0001-7306-4062 and Liang, Kaitai (2025) MeetSafe: enhancing robustness against white-box adversarial examples. Frontiers in Computer Science, 7:1631561. ISSN 2624-9898 (Online) (doi:10.3389/fcomp.2025.1631561)

machine learning

Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Mohammadreza, Mohammadi, Rahdari, Ahmad, Taheri, Rahim and Conti, Mauro (2025) A random deep feature selection approach to mitigate transferable adversarial attacks. IEEE Transactions on Network and Service Management. ISSN 1932-4537 (Online) (doi:10.1109/TNSM.2025.3594253)

Machine Learning robustness

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

MITRE ATT&CK and MITRE ATLAS

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

ML security evaluation

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Network Intrusion Detection Systems (NIDS)

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Packet-Level Traffic Manipulation

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

post-exploitation techniques

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Red Teaming

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

Stealthy Network Communications

Hajizadeh, Mehrdad, Golchin, Pegah, Nowroozi, Ehsan ORCID logoORCID: https://orcid.org/0000-0002-5714-8378, Rigaki, Maria, Valeros, Veronica, Garcia, Sebastian, Conti, Mauro and Bauschert, Thomas (2025) DeepRed: a deep learning-powered command and control framework for multi-stage red teaming against ML-based network intrusion detection systems. In: WOOT '25: Proceedings of the 19th USENIX WOOT Conference on Offensive Technologies. August 11–12, 2025. USENIX The Advanced Computing Systems Association, Seattle, WA, USA, pp. 103-127. ISBN 978-1939133502

This list was generated on Mon Jan 19 01:39:33 2026 UTC.