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Papers matching “network attacks” 31

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Multi-Task Siamese Neural Network for Improving Replay Attack Detection
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Patrick von Platen, Fei Tao, Gökhan Tür

0

citations
An Approach of Replicating Multi-Staged Cyber-Attacks and Countermeasures in a Smart Grid Co-Simulation Environment
2021 arXiv (Cornell University) preprint Engineering Smart Grid Security and Resilience Open access

Ömer Sen, Dennis van der Velde, Sebastian N. Peters, Martin Henze

2

citations
ALBUS: a Probabilistic Monitoring Algorithm to Counter Burst-Flood Attacks
2023 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Simon Scherrer, Jo Vliegen, Arish Sateesan, Hsu‐Chun Hsiao, Nele Mentens, Adrian Perrig

1

citations
A Bayesian Network Approach to Hybrid Threat Modelling
2024 Research Square preprint Social Sciences Cybersecurity and Cyber Warfare Studies Open access

Maarten Vonk, Tim Sweijs, Raffaele Minicozzi

0

citations
MiniFool — Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks
2025 Research Square preprint Computer Science Adversarial Robustness in Machine Learning Open access

Lucie Flek, Oliver Janik, Akbar Karimi, Timo Saala, Alexander G. Schmidt, M. Schott, +4 more

0

citations
Adversarial attacks and adversarial robustness in computational pathology
2022 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman David Buelow, +5 more

14

citations
Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations
2025 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Timo Saala, Lucie Flek, Alexander Jung, Akbar Karimi, Alexander G. Schmidt, M. Schott, +2 more

0

citations
A systematic comparison of measures for publishing k-anonymous social network data
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
On the Challenges of Holistic Intrusion Detection in ICS
2026 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Stefan Lenz, Julia Raab, Benedikt Holzbach, Deniz Köller, Sotiris Michaelides, Martin Henze

0

citations
CAIBA: Multicast Source Authentication for CAN Through Reactive Bit Flipping
2025 arXiv (Cornell University) preprint Engineering Vehicular Ad Hoc Networks (VANETs) Open access

Eric Wagner, Frederik Basels, Jan Bauer, Klaus Wehrle, Martin Henze

0

citations
On the Relationship between Heterophily and Robustness of Graph Neural Networks.
2021 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

2

citations
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness
2023 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiaoyun Xu, Guilherme Perin, Stjepan Picek

0

citations
When and How to Aggregate Message Authentication Codes on Lossy Channels?
2023 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Eric Wagner, Martin Serror, Klaus Wehrle, Martin Henze

0

citations
Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments
2020 arXiv (Cornell University) preprint Engineering Industrial Automation and Control Systems Open access

Markus Dahlmanns, Johannes Lohmöller, Ina Berenice Fink, Jan Pennekamp, Klaus Wehrle, Martin Henze

4

citations
Fuzzy k-anonymity in complex networks
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
Fuzzy k-anonymity in complex networks
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

R. Jong, Mark van der Loo, Frank W. Takes

0

citations
CoFacS -- Simulating a Complete Factory to Study the Security of Interconnected Production
2025 arXiv (Cornell University) preprint Engineering Smart Grid Security and Resilience Open access

Stefan Lenz, David Schachtschneider, Simon Jonas, Liam Tirpitz, Sandra Geisler, Martin Henze

0

citations
Interpreting Emergent Features in Deep Learning-based Side-channel Analysis
2025 arXiv (Cornell University) preprint Computer Science Cryptographic Implementations and Security Open access

Sengim Karayalçın, Marina Krček, Stjepan Picek

0

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

citations
Geometric Deep Learning Methods for Improved Generalizability in Medical Computer Vision: Hyperbolic Convolutional Neural Networks in Multi-Modality Neuroimaging
2024 medRxiv preprint Computer Science Advanced Neural Network Applications Open access

Cyrus Ayubcha, Sulaiman Sajed, Chady Omara, Anna B. Veldman, Shashi B. Singh, Yashas Ullas Lokesha, +4 more

0

citations
Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
2026 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Stefan Lenz, Johannes Weidmann, Martin Henze

0

citations
Deployment Challenges of Industrial Intrusion Detection Systems
2024 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Konrad Wolsing, Eric Wagner, Frederik Basels, Klaus Wehrle

0

citations
On Holistic Multi-Step Cyberattack Detection via a Graph-based Correlation Approach
2022 arXiv (Cornell University) preprint Engineering Smart Grid Security and Resilience Open access

Ömer Sen, Chijioke Eze, Andreas Ulbig, Antonello Monti

0

citations
Experimental Private Quantum Networked Sensing
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Nicolas Laurent-Puig, Laura dos Santos Martins, Luís Bugalho, Santiago Scheiner, Majid Hassani, Sean William Moore, +2 more

0

citations
Automated Design of Linear Bounding Functions for Sigmoidal Nonlinearities in Neural Networks
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Xiyue Zhang, Holger H. Hoos, Marta Kwiatkowska, Jan N. van Rijn

0

citations