Suivre
Christian A. Hammerschmidt
Christian A. Hammerschmidt
Autres nomsChristian Albert Hammerschmidt, Chris A. Hammerschmidt
Affiliation inconnue
Adresse e-mail validée de intuitionmachines.com - Page d'accueil
Titre
Citée par
Citée par
Année
Improving missing data imputation with deep generative models
RD Camino, R Hammerschmidt, CA, State
arXiv preprint arXiv:1902.10666, 2019
92*2019
Generating multi-categorical samples with generative adversarial networks
R Camino, C Hammerschmidt, R State
arXiv preprint arXiv:1807.01202, 2018
912018
flexfringe: A Passive Automaton Learning Package
SE Verwer, C Hammerschmidt
Software Maintenance and Evolution (ICSME), 2017 IEEE International …, 2017
482017
BotGM: Unsupervised graph mining to detect botnets in traffic flows
S Lagraa, J François, A Lahmadi, M Miner, C Hammerschmidt, R State
Cyber Security in Networking Conference (CSNet), 2017 1st, 1-8, 2017
412017
Learning behavioral fingerprints from Netflows using Timed Automata
G Pellegrino, Q Lin, C Hammerschmidt, S Verwer
Integrated Network and Service Management (IM), 2017 IFIP/IEEE Symposium on …, 2017
232017
Federated learning for cyber security: SOC collaboration for malicious URL detection
E Khramtsova, C Hammerschmidt, S Lagraa, R State
2020 IEEE 40th International Conference on Distributed Computing Systems …, 2020
212020
Short-term time series forecasting with regression automata
Q Lin, C Hammerschmidt, G Pellegrino, S Verwer
ACM SIGKDD 2016 Workshop on Mining and Learning from Time Series (MiLeTS), 2016
212016
Behavioral clustering of non-stationary IP flow record data
C Hammerschmidt, S Marchal, R State, S Verwer
Network and Service Management (CNSM), 2016 12th International Conference on …, 2016
18*2016
Beyond labeling: Using clustering to build network behavioral profiles of malware families
A Nadeem, C Hammerschmidt, CH Gañán, S Verwer
Malware analysis using artificial intelligence and deep learning, 381-409, 2021
172021
Interpreting Finite Automata for Sequential Data
CA Hammerschmidt, S Verwer, Q Lin, R State
arXiv preprint arXiv:1611.07100, 2016
16*2016
Efficient Learning of Communication Profiles from IP Flow Records
C Hammerschmidt, S Marchal, R State, G Pellegrino, S Verwer
Local Computer Networks (LCN), 2016 IEEE 41st Conference on, 559-562, 2016
152016
Reliable Machine Learning for Networking: Key Issues and Approaches
CA Hammerschmidt, S Garcia, S Verwer, R State
Local Computer Networks (LCN), 2017 IEEE 42nd Conference on, 167-170, 2017
122017
The robust malware detection challenge and greedy random accelerated multi-bit search
S Verwer, A Nadeem, C Hammerschmidt, L Bliek, A Al-Dujaili, ...
Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security …, 2020
112020
Working with deep generative models and tabular data imputation
RD Camino, C Hammerschmidt
First Workshop on the Art of Learning with Missing Values (Artemiss), 2020
72020
Flexfringe: Modeling software behavior by learning probabilistic automata
S Verwer, C Hammerschmidt
arXiv preprint arXiv:2203.16331, 2022
62022
Oversampling tabular data with deep generative models: Is it worth the effort?
RD Camino, CA Hammerschmidt
PMLR, 2020
62020
An experimental analysis of fraud detection methods in enterprise telecommunication data using unsupervised outlier ensembles
G Kaiafas, C Hammerschmidt, ...
IEEE Symposium on Integrated Network and Service Management (IM), 37-42, 2019
6*2019
Learning deterministic finite automata from infinite alphabets
G Pellegrino, C Hammerschmidt, Q Lin, S Verwer
International Conference on Grammatical Inference, 120-131, 2017
62017
Auto Semi-supervised Outlier Detection for Malicious Authentication Events
G Kaiafas, C Hammerschmidt, S Lagraa, R State
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
32019
MalPaCA: malware packet sequence clustering and analysis
A Nadeem, C Hammerschmidt, CH Ganán, S Verwer
arXiv preprint arXiv:1904.01371, 2019
32019
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