Christoph Sendner
Chair of Software Engineering (Informatik II)
Department of Computer Science
University of Würzburg
Am Hubland, 97074, Würzburg, Germany
Informatikgebäude, 2.OG, Room B 203
E-Mail: christoph.sendner@uni-wuerzburg.de
Phone: +49 (931) 31 86863
Teaching
WS 2021/22
- Ethical Hacking Lab Network
- Seminar IT-Security
SS 2021
- Ethical Hacking Lab Software
- Seminar IT-Security
WS 2020/21
- Ethical Hacking Lab Network
SS 2020
- Ethical Hacking Lab Software
- Seminar IT-Security
WS 2019/20
- Exercises - Introduction to IT-Security
- Seminar IT-Security
SS 2019
- Exercises - Security of Software Systems
- Seminar IT-Security
- Ethical Hacking Lab Software
WS 2018/19
- Exercises - Introduction to IT-Security
SS 2018
- Exercises - Security of Software Systems
Research interests
- Microarchitectural Attacks
- Attacks on TEEs and others
- Applied cryptography
- Security in Software Systems
Publications
2024[ to top ]
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Large-Scale Study of Vulnerability Scanners for Ethereum Smart Contracts. in To appear in the IEEE Symposium on Security & Privacy (2024).
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MirageFlow: A New Bandwidth Inflation Attack on Tor. in the Network and Distributed System Security Symposium (NDSS) (2024).
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2023[ to top ]
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Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study. in ArXiv | arXiv:2312.16533 (2023).
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TorMult: Introducing a Novel Tor Bandwidth Inflation Attack. in ArXiv | arXiv.2307.08550 (2023).
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Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. in Network and Distributed System Security Symposium (NDSS) (2023).
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Metadata-based Malware Detection on Android using Machine Learning. in ArXiv | arXiv.2307.08547 (2023).
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G-Scan: Graph Neural Networks for Line-Level Vulnerability Identification in Smart Contracts. in arXiv:2307.08549 (2023).
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2022[ to top ]
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Ransomware Detection in Databases through Dynamic Analysis of Query Sequences. in IEEE Conference on Communications and Network Security (CNS) (2022).
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Contact Discovery in Mobile Messengers: Low-cost Attacks, Quantitative Analyses, and Efficient Mitigations. in Cryptology ePrint Archive, Report 2022/875 (2022). (2022/875)
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Contact Discovery in Mobile Messengers: Low-cost Attacks, Quantitative Analyses, and Efficient Mitigations. in ACM Transactions on Privacy and Security (TOPS) (2022).
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2021[ to top ]
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ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning. in ArXiv | arXiv:2103.12607v1 (2021).
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All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers. in Network and Distributed System Security Symposium (NDSS) (2021).
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Sound Smart Contract Security Testing with Just One Tool. in CyberSec&AI 2021 (2021).
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2020[ to top ]
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All the Numbers are US: Large-scale Abuse of Contact Discovery in Mobile Messengers. in Cryptology ePrint Archive, Report 2020/1119 (2020).
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Evaluating the Privacy of Contact Discovery. Thesis; Master Thesis. (2020, July).
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