Anzahl der Publikationen: 2
Konferenzbeitrag
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
[PDF, 592kB]
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
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