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New Differential-Algebraic Attacks and Reparametrization of Rainbow [chapter]

Jintai Ding, Bo-Yin Yang, Chia-Hsin Owen Chen, Ming-Shing Chen, Chen-Mou Cheng
Applied Cryptography and Network Security  
In this paper, we exhibit similar algebraic and diential attacks, that will reduce published Rainbow-like schemes below their security levels.  ...  linear equations, seem to lead to ecient schemes (TTS, TRMS, and Rainbow) that perform well on systems of low computational resources.  ...  Acknowledgements JD and BY are grateful to the Humboldt and Taft Foundations, without whose valuable support much of this work would not have been possible.  ... 
doi:10.1007/978-3-540-68914-0_15 dblp:conf/acns/DingYCCC08 fatcat:smlq4an5hbak5iohjxcr6qww6m

Analytic combinatorics in several variables

2014 ChoiceReviews  
vi Preface Dedication To the memory of Philippe Flajolet, on whose shoulders stands all of the work herein.  ...  We then attack the integral from step (vi) of the general program.  ...  The pair T-data is a rainbow with p at its apex and both boundary points below height c−ε. The product N-data × T-data is the product of a circle with this rainbow.  ... 
doi:10.5860/choice.51-3299 fatcat:phaza5ah5vbmxemh2mmtchrr4u

Foundations for a theory of emergent quantum mechanics and emergent classical gravity [article]

Ricardo Gallego Torromé
2021 arXiv   pre-print
The laws and rules of quantum mechanics are understood as an effective description, valid for the emergent systems and specially useful to handle probabilistic predictions of observables.  ...  Hamilton-Randers model and associated with the space of wave functions of quantum mechanical systems.  ...  and uniqueness of ordinary differential equations [29] .  ... 
arXiv:1402.5070v17 fatcat:hsmrs66emvgdxdexeub3tp74va

Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey [article]

Julian Wörmann, Daniel Bogdoll, Etienne Bührle, Han Chen, Evaristus Fuh Chuo, Kostadin Cvejoski, Ludger van Elst, Tobias Gleißner, Philip Gottschall, Stefan Griesche, Christian Hellert, Christian Hesels (+34 others)
2022 arXiv   pre-print
The existence of representative datasets is a prerequisite of many successful artificial intelligence and machine learning models.  ...  Leveraging additional, already existing sources of knowledge is key to overcome the limitations of purely data-driven approaches, and eventually to increase the generalization capability of these models  ...  [445] target the susceptibility of deep neural networks to adversarial attacks and allow for visualizing the set of neurons in the network that were fooled by the attack.  ... 
arXiv:2205.04712v1 fatcat:u2bgxr2ctnfdjcdbruzrtjwot4

Learning Invariant Representations for Deep Latent Variable Models

Mario Wieser
2020
This is a human-readable summary of (and not a substitute for) the license.  ...  adds resilience of the model against outliers and adversarial attacks in the training phase.  ...  y) [log p(y)] the entropy for discrete y and the differential entropy for continuous y.  ... 
doi:10.5451/unibas-ep79859 fatcat:txprg5oyifee3d7pwolgwgcika