zweidimensionales bewegtes Bild
Secure Python ML: The Major Security Flaws in the ML Lifecycle: (and How to Avoid Them)
- Location
-
Hannover TIB
- Extent
-
137MB, 00:30:43:11 (unknown)
- Language
-
Englisch
- Notes
-
Audiovisuelles Material
- Bibliographic citation
-
EuroPython 2022 ; (Jan. 2022)
- Event
-
Veröffentlichung
- (who)
-
EuroPython Conference
- (when)
-
2022-01-01
- Contributor
-
Saucedo, Alejandro
N. N. (Moderation)
- DOI
-
10.5446/60852
- Last update
-
04.12.2024, 8:09 AM CET
Data provider
This object is provided by:
Technische Informationsbibliothek (TIB). If you have any questions about the object, please contact the data provider.
Technische Informationsbibliothek (TIB). If you have any questions about the object, please contact the data provider.
Object type
- zweidimensionales bewegtes Bild
Associated
- Saucedo, Alejandro
- N. N. (Moderation)
- EuroPython Conference
Time of origin
- 2022-01-01
Other Objects (12)
Writing secure code in Python
Overengineering an ML pet project to learn about MLOps: Force yourself to do pushups while working from home!
Online voting system used for primary elections for the French Presidential, must be secure right?
Q&A - Secure Swiss Finance Network (SSFN) Early Adopter
Introduction to Secure Execution for s390x: KVM confidential VMs on IBM Z
ML.
The Hitchhacker’s Guide to iPhone Lightning and JTAG Hacking
Phreaking 2.0 - Abusing Microsoft Teams Direct Routing
Low Code High Risk - Enterprise Domination via Low Code Abuse
Fische in Not
SpyPi: An Attempt to Get Students Into Data Security
New Researchers III: Optimal designs for individual prediction in multiple group random coefficient regression models
Writing secure code in Python
Overengineering an ML pet project to learn about MLOps: Force yourself to do pushups while working from home!
Online voting system used for primary elections for the French Presidential, must be secure right?
Q&A - Secure Swiss Finance Network (SSFN) Early Adopter
Introduction to Secure Execution for s390x: KVM confidential VMs on IBM Z
ML.
The Hitchhacker’s Guide to iPhone Lightning and JTAG Hacking
Phreaking 2.0 - Abusing Microsoft Teams Direct Routing
Low Code High Risk - Enterprise Domination via Low Code Abuse
Fische in Not
SpyPi: An Attempt to Get Students Into Data Security
New Researchers III: Optimal designs for individual prediction in multiple group random coefficient regression models
Writing secure code in Python
Overengineering an ML pet project to learn about MLOps: Force yourself to do pushups while working from home!
Online voting system used for primary elections for the French Presidential, must be secure right?
Q&A - Secure Swiss Finance Network (SSFN) Early Adopter
Introduction to Secure Execution for s390x: KVM confidential VMs on IBM Z
ML.
The Hitchhacker’s Guide to iPhone Lightning and JTAG Hacking
Phreaking 2.0 - Abusing Microsoft Teams Direct Routing
Low Code High Risk - Enterprise Domination via Low Code Abuse
Fische in Not
SpyPi: An Attempt to Get Students Into Data Security