Information-theoretic secrecy for wireless networks

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EOS: Efficient Private Delegation of zkSNARK Provers

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Succinct zero knowledge proofs (i.e. zkSNARKs) are powerful cryptographic tools that enable a prover to convince a verifier that a given statement is true without revealing any additional information. Their attractive privacy properties have led to much ac ...

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On the (Im)possibility of Commitment over Gaussian Unfair Noisy Channels

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Commitment is a key primitive which resides at the heart of several cryptographic protocols. Noisy channels can help realize information-theoretically secure commitment schemes; however, their imprecise statistical characterization can severely impair such ...

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Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks

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This thesis focuses on two selected learning problems: 1) statistical inference on graphs models, and, 2) gradient descent on neural networks, with the common objective of defining and analysing the measures that characterize the fundamental limits. In th ...

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Caching and Neutrality

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We are used to defining network neutrality as absence of traffic differentiation, like policing or shaping. These mechanisms, however, are often not what determines end-users’ quality of experience (QoE). Most content today is accessed through edge caches, ...

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2.5D Systems-on-Package (SoPs) are composed by several chiplets placed on an interposer. They are becoming increasingly popular as they enable easy integration of electronic components in the same package and high fabrication yields. Nevertheless, they int ...

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Euclid preparation XXVI. The Euclid Morphology Challenge: Towards structural parameters for billions of galaxies

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Artificial Neural Network Training on an Optical Processor via Direct Feedback Alignment

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Artificial Neural Networks (ANN) are habitually trained via the back-propagation (BP) algorithm. This approach has been extremely successful: Current models like GPT-3 have O(10 11 ) parameters, are trained on O(10 11 ) words and produce awe-inspiring resu ...

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Optimal digital filter selection for remote photoplethysmography (rPPG) signal conditioning

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