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| | akosiorek.github.io
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| | Machine learning is all about probability.To train a model, we typically tune its parameters to maximise the probability of the training dataset under the mo...
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| | neilmadden.blog
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| Note: this post will probably only really make sense to cryptography geeks. In "When a KEM is notenough", I described how to construct multi-recipient (public key) authenticated encryption. A naïve approach to this is vulnerable to insider forgeries: any recipient can construct a new message (to the same recipients) that appears to come from the...