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Mark Alan Matties

The Johns Hopkins University Applied Physics Laboratory

4 papers hereh-index 466 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.AI1
  • cs.LG1
affiliations
  • The Johns Hopkins University Applied Physics Laboratory
  • JHU APL
HomepageORCID 0000-0003-2491-8089

identity via Semantic Scholar / OpenAlex

activity
20202022
most citedWavelet Selection and Employment for Side-Channel Disassembly

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

collaborators

4 papers

cs.AI2022

Autonomous Intelligent Software Development

Mark Alan Matties

We present an overview of the design and first proof-of-concept implementation for AIDA, an autonomous intelligent developer agent that develops software from scratch. AIDA takes a…

cs.CR2022★ 1 cited

Configuration and Collection Factors for Side-Channel Disassembly

Random Gwinn, Mark Matties, Aviel D. Rubin

Myriad uses, methodologies, and channels have been explored for side-channel analysis. However, specific implementation considerations are often unpublished. This paper explores se…

cs.CR2021★ 3 cited

Wavelet Selection and Employment for Side-Channel Disassembly

Random Gwinn, Mark A. Matties, Aviel D. Rubin

Side-channel analysis, originally used in cryptanalysis is growing in use cases, both offensive and defensive. Wavelet analysis is a commonly employed time-frequency analysis techn…

cs.LG2020

Vector Embeddings with Subvector Permutation Invariance using a Triplet Enhanced Autoencoder

Mark Alan Matties

The use of deep neural network (DNN) autoencoders (AEs) has recently exploded due to their wide applicability. However, the embedding representation produced by a standard DNN AE t…

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