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Jonathan Peck

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedRegional Image Perturbation Reduces Lp​ Norms of Adversarial Examples While Maintaining Model-to-model Transferability

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 2 cited

Regional Image Perturbation Reduces Lp​ Norms of Adversarial Examples While Maintaining Model-to-model Transferability

Utku Ozbulak, Jonathan Peck, Wesley De Neve +3

Regional adversarial attacks often rely on complicated methods for generating adversarial perturbations, making it hard to compare their efficacy against well-known attacks. In thi…

cs.CR2020

Inline Detection of DGA Domains Using Side Information

Raaghavi Sivaguru, Jonathan Peck, Femi Olumofin +2

Malware applications typically use a command and control (C&C) server to manage bots to perform malicious activities. Domain Generation Algorithms (DGAs) are popular methods for ge…

cs.LG2019

CharBot: A Simple and Effective Method for Evading DGA Classifiers

Jonathan Peck, Claire Nie, Raaghavi Sivaguru +5

Domain generation algorithms (DGAs) are commonly leveraged by malware to create lists of domain names which can be used for command and control (C&C) purposes. Approaches based on…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.