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Privacy, Verification, Robustness: A Cryptographer's perspective on ML
Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML Cryptographic tools enable the safe use of technology platforms controlled by worst case computationally bounded adversaries.In thi...
About This Episode
Privacy, Verification, Robustness: A Cryptographer's perspective on ML is an episode from Computer Science by Oxford University. Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML Cryptographic tools en...
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Episode Details
Published Mar 11, 2025, 64:18 long, audio available.
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What is Privacy, Verification, Robustness: A Cryptographer's perspective on ML about?
Strachey Lecture: Privacy, Verification, Robustness: A Cryptographer's perspective on ML Cryptographic tools enable the safe use of technology platforms controlled by worst case computationally bounded adversaries.In this talk I will show how cryptographic paradigms and tools can be used to address trust issues in various phases of the machine learning pipeline. We will touch on approaches for achieving privacy, correctness, and robustness in presence of adversaries.
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Which podcast is Privacy, Verification, Robustness: A Cryptographer's perspective on ML from?
Privacy, Verification, Robustness: A Cryptographer's perspective on ML is an episode from Computer Science by Oxford University.
How long is this episode?
This episode is 64:18 long.
When was this episode published?
This episode was published on Mar 11, 2025.
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Where can I listen to Privacy, Verification, Robustness: A Cryptographer's perspective on ML?
You can listen to Privacy, Verification, Robustness: A Cryptographer's perspective on ML on this page when the episode audio is available from the podcast feed.
Which podcast is this episode from?
Privacy, Verification, Robustness: A Cryptographer's perspective on ML is from Computer Science by Oxford University.
What are the episode details?
Published Mar 11, 2025 and 64:18 long