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ZKLoRA
Zero-Knowledge Verification of LoRA training on SOTA Models in 1-2 Seconds
Jan 21
•
Bidhan Roy
,
Peter Potash
, and
Marcos Villagra
24
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Train Fast, But Think Slow
Nov 6, 2024
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Bidhan Roy
and
Marcos Villagra
37
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Train Fast, But Think Slow
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Machine Unlearning
Sep 10, 2024
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Bidhan Roy
and
Marcos Villagra
10
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Machine Unlearning
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With Great Data, Comes Great Responsibility
Mar 5, 2024
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Bidhan Roy
and
Marcos Villagra
7
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With Great Data, Comes Great Responsibility
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Train Fast, But Think Slow
Inference Time Compute vs Training Time Compute for AI Reasoning
Nov 6, 2024
•
Bidhan Roy
and
Marcos Villagra
37
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Train Fast, But Think Slow
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Machine Unlearning
Right to be forgotten by AI
Sep 10, 2024
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Bidhan Roy
and
Marcos Villagra
10
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Machine Unlearning
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With Great Data, Comes Great Responsibility II
Privacy preserving machine learning (PPML) with TEE and MPC.
Jun 10, 2024
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Bidhan Roy
and
Marcos Villagra
10
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With Great Data, Comes Great Responsibility II
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Data Synthesis
Synthetic Data 101
May 15, 2024
•
Marcos Villagra
and
Bidhan Roy
2
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Data Synthesis
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The Inference Interference
How to design verifiable inference that’s not slow
Apr 11, 2024
•
Bidhan Roy
and
Marcos Villagra
5
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The Inference Interference
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With Great Data, Comes Great Responsibility
Privacy preserving machine learning (PPML) at Bagel 🥯
Mar 5, 2024
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Bidhan Roy
and
Marcos Villagra
7
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With Great Data, Comes Great Responsibility
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Monetizable Open Source AI
Deep research publication on Machine Learning, Cryptography and the universe.
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