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Releases: mithril-security/bastionlab

BastionLab v0.3.7

06 Jan 17:17
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  • Support SQL queries with RemoteDataFrames on the client side (the query is converted to a logical plan)
  • Updated examples and documentation of bastionlab.torch
  • DataFrames can now be deleted by an authenticated data owner
  • Policies specify whether DataFrames can be persisted or not

BastionLab v0.3.6

23 Dec 09:46
939cc25
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  • Pip packaged test server in tutorials
  • Improved data visualization: pie chart, facet grid
  • Improved documentation: README, ReadTheDocs, API reference, Benchmarks, bastionlab.torch
  • DataFrame stacking (i.e. appending one df to another) and multi-dataset tutorial
  • Covid dataset example
  • Improved and documented authentication mechanism (tutorial and security specs)
  • Fixed aggegation checks for joins and nested expressions
  • DataFrame persistence mechanism
  • Improved privacy policies (user-id rule) and added a tutorial
  • Basic debug logs on the server side

BastionLab v0.3.5

09 Dec 16:30
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  • Fixed authentication st session creation: challenges are now checked properly preventing replay attacks.
  • Improved visualization capabilities: better looking plots, facet grids.
  • Improved documentation coverage: authentication, multi-datasets, visualization, Covid use-case etc.

BastionLab v0.3.4

07 Dec 14:23
0d148f2
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  • Removes mandatory authentication
  • Improves the policy definition for DataFrames privacy
  • Integrates BastionAI as a new torch module
  • Analytics are grouped in the polars module
  • Documentation improvements: tutorials, examples etc.

BastionLab v0.3.3

28 Nov 16:59
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  • Fixes a bug in the aggregation checker
  • Fixes the Quick Tour notebook

BastionLab v0.3.2

25 Nov 14:48
d9a35b3
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Fixes access control and sanitization bugs

BastionLab v0.3.1

25 Nov 11:08
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Fixes a bug with policy sending in the client.

BastionLab v0.3.0

25 Nov 09:26
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This is the first release of BastionLab, a remote data science framework.
BastionAI will become one component of BastionLab in the upcoming releases.
For now, the code is still accessible in the bastionlab directory.
The last version of bastionai Python package and the corresponding Docker image may still be used in the meantime.

BastionAI v0.2.1

30 Sep 14:53
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  • Fixes uploads progress bars in client
  • Fixes CPU/GPU tensors inconsistencies in server

BastionAI v0.2.0

20 Sep 08:48
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