2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) /

This conference will expand on the theoretical and practical understandings of vulnerabilities inherent to ML systems, explore the robustness of ML algorithms and systems, and aid in developing a unified, coherent scientific community which aims to build trustworthy ML systems.

Gespeichert in:
Weitere Titel:
2023 IEEE Conference on Secure and Trustworthy Machine Learning
Körperschaft:
IEEE Computer Society
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
Los Alamitos, California : IEEE, 2023.
Zusammenfassung:
This conference will expand on the theoretical and practical understandings of vulnerabilities inherent to ML systems, explore the robustness of ML algorithms and systems, and aid in developing a unified, coherent scientific community which aims to build trustworthy ML systems.
Umfang:
1 online resource
ISBN:
9781665462990
166546299X
Schlagworte:
Machine learning > Congresses.
Bezugswerke:
Links: