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Nils Ole Tippenhauer

◀ ▶ joint publications with Alessandro Erba 0001

> Home > Persons > Nils Ole Tippenhauer

Publications

2023
[c67]
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  - conf/cpss/Walita0CT23
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  - https://dblp.org/rec/conf/cpss/Walita0CT23
Tim Walita, Alessandro Erba, John Henry Castellanos, Nils Ole Tippenhauer:
Blind Concealment from Reconstruction-based Attack Detectors for Industrial Control Systems via Backdoor Attacks. CPSS@AsiaCCS 2023: 36-47
[c66]
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  - conf/dimva/0001T23
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Alessandro Erba, Nils Ole Tippenhauer:
White-Box Concealment Attacks Against Anomaly Detectors for Cyber-Physical Systems. DIMVA 2023: 111-131
2022
[c62]
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  - conf/acsac/ErbaT22
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Alessandro Erba, Nils Ole Tippenhauer:
Assessing Model-free Anomaly Detection in Industrial Control Systems Against Generic Concealment Attacks. ACSAC 2022: 412-426
[c60]
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  - conf/ccs/ErbaMT22
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Alessandro Erba, Anne Müller, Nils Ole Tippenhauer:
Security Analysis of Vendor Implementations of the OPC UA Protocol for Industrial Control Systems. CPSIOTSEC@CCS 2022: 1-13
2021
[i19]
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  - journals/corr/abs-2104-06051
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Alessandro Erba, Anne Müller, Nils Ole Tippenhauer:
Practical Pitfalls for Security in OPC UA. CoRR abs/2104.06051 (2021)
2020
[c51]
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  - conf/acsac/ErbaTGPCZT20
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Alessandro Erba, Riccardo Taormina, Stefano Galelli, Marcello Pogliani, Michele Carminati, Stefano Zanero, Nils Ole Tippenhauer:
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems. ACSAC 2020: 480-495
[c49]
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  dblp key:
  - conf/ccs/TurrinETC20
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Federico Turrin, Alessandro Erba, Nils Ole Tippenhauer, Mauro Conti:
A Statistical Analysis Framework for ICS Process Datasets. CPSIOTSEC@CCS 2020: 25-30
[i15]
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  - journals/corr/abs-2012-03586
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Alessandro Erba, Nils Ole Tippenhauer:
No Need to Know Physics: Resilience of Process-based Model-free Anomaly Detection for Industrial Control Systems. CoRR abs/2012.03586 (2020)
2019
[i12]
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  - journals/corr/abs-1907-07487
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Alessandro Erba, Riccardo Taormina, Stefano Galelli, Marcello Pogliani, Michele Carminati, Stefano Zanero, Nils Ole Tippenhauer:
Real-time Evasion Attacks with Physical Constraints on Deep Learning-based Anomaly Detectors in Industrial Control Systems. CoRR abs/1907.07487 (2019)

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