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20052020
most citedModel Extraction Attacks against Recurrent Neural Networks

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2020★ 4 cited

Model Extraction Attacks against Recurrent Neural Networks

Tatsuya Takemura, Naoto Yanai, Toru Fujiwara

Model extraction attacks are a kind of attacks in which an adversary obtains a new model, whose performance is equivalent to that of a target model, via query access to the target…

cs.CR2013

Toward Security Verification against Inference Attacks on Data Trees

Ryo Iwase, Yasunori Ishihara, Toru Fujiwara

This paper describes our ongoing work on security verification against inference attacks on data trees. We focus on infinite secrecy against inference attacks, which means that att…

cs.DB2013★ 1 cited

XPath Satisfiability with Parent Axes or Qualifiers Is Tractable under Many of Real-World DTDs

Yasunori Ishihara, Nobutaka Suzuki, Kenji Hashimoto +2

This paper aims at finding a subclass of DTDs that covers many of the real-world DTDs while offering a polynomial-time complexity for deciding the XPath satisfiability problem. In…

cs.IT2008

Uncorrectable Errors of Weight Half the Minimum Distance for Binary Linear Codes

Kenji Yasunaga, Toru Fujiwara

A lower bound on the number of uncorrectable errors of weight half the minimum distance is derived for binary linear codes satisfying some condition. The condition is satisfied by…

cs.IT2005

Relations between the Local Weight Distributions of a Linear Block Code, Its Extended Code, and Its Even Weight Subcode

Kenji Yasunaga, Toru Fujiwara

Relations between the local weight distributions of a binary linear code, its extended code, and its even weight subcode are presented. In particular, for a code of which the exten…