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Black Box

Black-Box  Non-Black-Box  Zero  Knowledge

Black-Box Non-Black-Box Zero Knowledge

... As mentioned above, we know how to construct the black-box WIUARG that we can use to prove Theorem 1. Also, we know how to get a BB version of Theorem 1, by computing the commitment of M using our BB ...

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Black-Box  Parallel  Garbled  RAM

Black-Box Parallel Garbled RAM

... In 1982, Yao introduced a fundamental technique of “circuit garbling” that became a central building block in cryptography. Recently, the question of garbling general random-access memory (RAM) programs received a lot of ...

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Language Trained Animals: A Window to the “Black Box”

Language Trained Animals: A Window to the “Black Box”

... Animals have to process quantity of information in order to take decisions and adapt their behaviors to their physical and social environment. They have to remember previous events (learning), to cope with their internal ...

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Sentential Paraphrasing as Black Box Machine Translation

Sentential Paraphrasing as Black Box Machine Translation

... We present a simple, prepackaged solution to generating paraphrases of English sentences. We use the Paraphrase Database (PPDB) for monolingual sentence rewriting and provide machine translation language packs: prepack- ...

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Inside the Black Box of Search Algorithms

Inside the Black Box of Search Algorithms

... BLACK BOX A lgorithmic accountability means different things in dif- ferent ...the Black Box,” Fastcase and Lexis Advance lifted the hood on their algorithms to help legal researchers better ...

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Whitening Black-Box Neural Networks

Whitening Black-Box Neural Networks

... See table 2 for the main results of our metamodels, kennen-o, kennen-i, and kennen-io on the Random split. Unless stated otherwise, the metamodel is trained with 5, 000 training split classifiers. Given n = 100 queries ...

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Transductive Adaptation of Black Box Predictions

Transductive Adaptation of Black Box Predictions

... In addition, black boxes systems are frequent in natural language processing applications. For in- stance, Statistical Machine Translation (SMT) sys- tems are often used as black box to extract fea- ...

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Black Box Linear Algebra with the LinBox Library

Black Box Linear Algebra with the LinBox Library

... to black box algorithms, which may perform additional coefficient field operations and need access to the field ...the black box matrix apply methods for dense vectors cannot perform any ...

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Black-Box  Obfuscation  for  d-CNFs

Black-Box Obfuscation for d-CNFs

... of black box obfuscation: namely, the obfuscated program should expose nothing more than what can be learned via oracle access to its input-output ...

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Floating Black-Box Flight Recorder

Floating Black-Box Flight Recorder

... The proposed system can solve many problems faced by the rescue team to find aviation accident. This system ensures safety of air passengers. And also this system is more effective so as to make a black box ...

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Economic Governance of MFIs: Inside the Black Box

Economic Governance of MFIs: Inside the Black Box

... The discourse on poverty lending vis-à-vis financial system approaches to microfinance reached the consensus in the late 1990s that it is more than an either/or argument, rather the extent to which an institution pursues ...

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Looking into the Black Box of Boosting: The Case of Germany

Looking into the Black Box of Boosting: The Case of Germany

... Boosting is a viable method for forecasting German industrial production. We open the boosting ’black box’ in order to identify systematic patterns and which indicators get selected by the algorithm. For ...

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Ganesha: Black-Box Diagnosis of MapReduce Systems

Ganesha: Black-Box Diagnosis of MapReduce Systems

... Ganesha’s black-box diagnos- tic approach, based on our (experimentally substantiated) hypotheses of a MapReduce system’s ...the black-box diagnosis of faults that manifest asymmetri- cally at ...

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Query-Efficient Black-box Adversarial Attacks

Query-Efficient Black-box Adversarial Attacks

... In the soft-label setting, the model outputs a probability score for each decision. [10] uses a finite difference in a coordinate-wise manner to approximately estimate the output probability changes and does a coordinate ...

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Active Bayesian Assessment for Black-Box Classifiers

Active Bayesian Assessment for Black-Box Classifiers

... of black-box predictors will need the capability to carry out assessment separately and independently from the training and evaluation procedures used when fitting the ...

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Opening Terminal Value s Black Box

Opening Terminal Value s Black Box

... When evaluating a company using the discounted cash flow method, terminal value can be a key factor that might highly influence the final result. The reasonableness of this final economic valuation may be doubtful if ...

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Round  Optimal  Black-Box Commit-and-Prove

Round Optimal Black-Box Commit-and-Prove

... round-optimal black-box constructions of zero- knowledge commit-and-prove ...the black-box regime, the best known result is due to Hazay and Venkitasubramaniam [21] which re- quires 6 rounds ...

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Black  Box  Separations  for  Differentially  Private  Protocols

Black Box Separations for Differentially Private Protocols

... Our black-box separation results are a consequence of amalgamation of the following techniques: 1) Information theoretic lower bounds for ε-differentially private α-accurate protocols for f ∈ {AND, XOR} in ...

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Procedural justice theory and the black box of causality

Procedural justice theory and the black box of causality

... Much empirical research in the social sciences is focussed on identifying causal relationships, and this is especially true for experimental studies. Yet, most of these efforts only scrutinise the average causal effects, ...

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Model risk: illuminating the black box

Model risk: illuminating the black box

... This paper presents latest thinking from the Institute and Faculty of Actuaries ’ Model Risk Working Party and follows on from their Phase I work, Model Risk: Daring to Open the Black Box. This is a more ...

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