Christian A. Hammerschmidt

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 20

Top Topics

Efficient Learning

Generative Model

Fraud Detection

Top Venues

Publications

Sicco Verwer, Christian A. Hammerschmidt
FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata. CoRR (2022)
Ramiro Camino, Christian A. Hammerschmidt, Radu State
Minority Class Oversampling for Tabular Data with Deep Generative Models. CoRR (2020)
Ramiro Daniel Camino, Radu State, Christian A. Hammerschmidt
Oversampling Tabular Data with Deep Generative Models: Is it worth the effort? ICBINB@NeurIPS (2020)
Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS (2020)
Ekaterina Khramtsova, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State
Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. ICDCS (2020)
Ramiro Daniel Camino, Christian A. Hammerschmidt, Radu State
Improving Missing Data Imputation with Deep Generative Models. CoRR (2019)
Georgios Kaiafas, Christian A. Hammerschmidt, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane
An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles. IM (2019)
Manxing Du, Christian A. Hammerschmidt, Georgios Varisteas, Radu State, Mats Brorsson, Zhu Zhang
time series modelling of market price in real-time bidding. ESANN (2019)
Azqa Nadeem, Christian A. Hammerschmidt, Carlos Hernandez Gañán, Sicco Verwer
MalPaCA: Malware Packet Sequence Clustering and Analysis. CoRR (2019)
Georgios Kaiafas, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State
Auto Semi-supervised Outlier Detection for Malicious Authentication Events. PKDD/ECML Workshops (2) (2019)
Ramiro Camino, Christian A. Hammerschmidt, Radu State
Generating Multi-Categorical Samples with Generative Adversarial Networks. CoRR (2018)
Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Marine Miner, Christian A. Hammerschmidt, Radu State
BotGM: Unsupervised graph mining to detect botnets in traffic flows. CSNet (2017)
Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, Sicco Verwer
Learning behavioral fingerprints from Netflows using Timed Automata. IM (2017)
Christian A. Hammerschmidt, Radu State, Sicco Verwer
Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms. CoRR (2017)
Christian A. Hammerschmidt, Sebastian Garcia, Sicco Verwer, Radu State
Reliable Machine Learning for Networking: Key Issues and Approaches. LCN (2017)
Sicco Verwer, Christian A. Hammerschmidt
flexfringe: A Passive Automaton Learning Package. ICSME (2017)
Christian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel
Flexible State-Merging for Learning (P)DFAs in Python. ICGI (2016)
Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer
Learning Deterministic Finite Automata from Infinite Alphabets. ICGI (2016)
Christian A. Hammerschmidt, Samuel Marchal, Radu State, Gaetano Pellegrino, Sicco Verwer
Efficient Learning of Communication Profiles from IP Flow Records. LCN (2016)
Christian A. Hammerschmidt, Samuel Marchal, Radu State, Sicco Verwer
Behavioral clustering of non-stationary IP flow record data. CNSM (2016)