PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 5, 20260 citationsOpen Access

Inversion of a One-Way Function via Derivative

View Full Paper
ייהוהKKKaoru Aguilera Katayama

Key Points

  • The research aims to explore the effects of inverting a one-way function through derivatives.
  • Theoretical analysis of one-way functions
  • Application of derivatives in cryptographic contexts
  • Implications for neural network design
  • Inverting a one-way function could potentially compromise cryptographic systems
  • Derivatives show promise in constructing neural networks
  • Highlights a significant intersection between cryptography and neural network methods

Abstract

It can have many applications, from destroying ALL CRYPTOGRAPHY to creating neural networks based on derivatives.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

יהוה et al. (2026) studied this question.

synapsesocial.com/papers/69a91d9bd6127c7a504c0943https://doi.org/10.5281/zenodo.18844571
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Derivatives of the Inverse of a One-to-One Function2026
  2. 2Generalized one-way function and its application2024
  3. 3Generalized Inversion of Nonlinear Operators2024 · 3 citations
  4. 4Network Inversion of Convolutional Neural Nets2024
  5. 5Automated quantum circuit generation for computing inverse hash functions2024