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Anzahl der Publikationen: 7
Zeitschriftenartikel
Pfannschmidt, Karlson 
ORCID: https://orcid.org/0000-0001-9407-7903; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Haddenhorst, Björn und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2022):
Learning context-dependent choice functions.
In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155
ORCID: https://orcid.org/0000-0001-9407-7903; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Haddenhorst, Björn und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(Januar 2022):
Learning context-dependent choice functions.
In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155
Pfannschmidt, Karlson; Gupta, Pritha; Haddenhorst, Björn und Hüllermeier, Eyke
(2021):
Learning context-dependent choice functions.
In: International Journal of Approximate Reasoning, Bd. 140: S. 116-155
Melnikov, Vitalik; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Kaimann, Daniel; Frick, Bernd und Gupta, Pritha
(2016):
Pairwise versus Pointwise Ranking: A Case Study.
In: Schedae Informaticae, Bd. 25: S. 73-83
ORCID: https://orcid.org/0000-0002-9944-4108; Kaimann, Daniel; Frick, Bernd und Gupta, Pritha
(2016):
Pairwise versus Pointwise Ranking: A Case Study.
In: Schedae Informaticae, Bd. 25: S. 73-83
Konferenzbeitrag
Schubert, David; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633 und Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818
(April 2023):
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets.
Advances in Intelligent Data Analysis XXI, Louvain-la-Neuve, Belgium, 12-14 April 2023.
Crémilleux, Bruno; Hess, Sibylle und Nijssen, Siegfried (Hrsg.):
Cham: Springer Nature Switzerland. S. 392-405
ORCID: https://orcid.org/0000-0002-7277-4633 und Wever, Marcel ORCID: https://orcid.org/0000-0001-9782-6818
(April 2023):
Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets.
Advances in Intelligent Data Analysis XXI, Louvain-la-Neuve, Belgium, 12-14 April 2023.
Crémilleux, Bruno; Hess, Sibylle und Nijssen, Siegfried (Hrsg.):
Cham: Springer Nature Switzerland. S. 392-405
Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Drees, Jan Peter ORCID: https://orcid.org/0000-0002-7982-9908 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2023):
Automated Side-Channel Attacks using Black-Box Neural Architecture Search.
18th International Conference on Availability, Reliability and Security, Benevento, Italy, 29 August - 1 September 2023.
In: Proceedings of the 18th International Conference on Availability, Reliability and Security,
New York, NY, USA: Association for Computing Machinery. S. 1-11
ORCID: https://orcid.org/0000-0002-7277-4633; Drees, Jan Peter ORCID: https://orcid.org/0000-0002-7982-9908 und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(2023):
Automated Side-Channel Attacks using Black-Box Neural Architecture Search.
18th International Conference on Availability, Reliability and Security, Benevento, Italy, 29 August - 1 September 2023.
In: Proceedings of the 18th International Conference on Availability, Reliability and Security,
New York, NY, USA: Association for Computing Machinery. S. 1-11
Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Ramaswamy, Arunselvan ORCID: https://orcid.org/0000-0001-7547-8111; Drees, Jan Peter ORCID: https://orcid.org/0000-0002-7982-9908; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Priesterjahn, Claudia ORCID: https://orcid.org/0000-0001-7236-9411 und Jager, Tibor ORCID: https://orcid.org/0000-0002-3205-7699
(Februar 2022):
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Virtual, February 3-5.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence,
Bd. 2
S. 152-163
ORCID: https://orcid.org/0000-0002-7277-4633; Ramaswamy, Arunselvan ORCID: https://orcid.org/0000-0001-7547-8111; Drees, Jan Peter ORCID: https://orcid.org/0000-0002-7982-9908; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Priesterjahn, Claudia ORCID: https://orcid.org/0000-0001-7236-9411 und Jager, Tibor ORCID: https://orcid.org/0000-0002-3205-7699
(Februar 2022):
Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols.
14th International Conference on Agents and Artificial Intelligence (ICAART 2022), Virtual, February 3-5.
In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence,
Bd. 2
S. 152-163
Drees, Jan Peter; Gupta, Pritha ORCID: https://orcid.org/0000-0002-7277-4633; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Jager, Tibor; Konze, Alexander; Priesterjahn, Claudia; Ramaswamy, Arunselvan und Somorovsky, Juraj
(November 2021):
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!
CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, 15. November 2021.
Carlini, Nicholas (Hrsg.):
In: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security,
Bd. 22
New York: Association for Computing Machinery. S. 169-180
ORCID: https://orcid.org/0000-0002-7277-4633; Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108; Jager, Tibor; Konze, Alexander; Priesterjahn, Claudia; Ramaswamy, Arunselvan und Somorovsky, Juraj
(November 2021):
Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!
CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, 15. November 2021.
Carlini, Nicholas (Hrsg.):
In: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security,
Bd. 22
New York: Association for Computing Machinery. S. 169-180