Questions tagged [machine-learning]

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What machine learning accuracy is assumed to be predictable for TRNG/PUF application?

In regular machine learning (ML) applications, usually an accuracy of greater than 95% is desired. In an ideal TRNG/PUF applications, unpredictable behavior (50% accuracy with ML models) is desired. ...
2
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1answer
125 views

Applications of machine learning in classical ciphers?

Machine learning is definitely applicable in analyzing simple shift ciphers like Caesar and affine ciphers, as well as substitution ciphers like Vigenère, but is it possible for machine learning to ...
1
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0answers
60 views

how to measure/calculate guessing entropy for side channel attacks

I was going through the paper (https://link.springer.com/chapter/10.1007/978-3-319-66787-4_3), and I came across where authors says that accuracy alone is not enough as an evaluation metric and ...
2
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2answers
216 views

Using AI to perform Cryptanalysis

If given a large set of examples of cyphertext and corresponding plaintext, could AI be trained to decrypt a cyphertext as the examples provided?, and if so, are there any examples online ...
0
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1answer
84 views

Can machine learning/AI lower the security existing cryptographic protocols similar to quantum computers? [duplicate]

Initial thinking would be not unless the protocol revealed sensitive local information that could then be analysed by an ML algorithm and applied globally. local meaning I see messages from Alice and ...
2
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1answer
90 views

How can we compare an encrypted number with a normal number?

I am currently doing a project on privacy preserving encryption using a k-means system and the Paillier encryption algorithm (homomorphic algorithm). I have to send an image of a skin disease to the ...
5
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1answer
2k views

Deep Learning application in decryption?

If the output of an algorithm when interacting with the [encryption] protocol matches that of a simulator given some inputs, it ‘need not know’ anything more than those inputs. Can a machine learn to ...