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Jonathan Gallagher

4 papers hereh-index 25 citations5 works total

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

author position
  • first author2
  • middle author2

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

fields
  • cs.LG2
  • cs.CR1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedDevelopment of a Dual-Input Neural Model for Detecting AI-Generated Imagery

2 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

LLMs for Analog Circuit Design Continuum (ACDC)

Yasaman Esfandiari, Jocelyn Rego, Austin Meyer +2

Large Language Models (LLMs) and transformer architectures have shown impressive reasoning and generation capabilities across diverse natural language tasks. However, their reliabi…

cs.CR2025

Provably effective detection of effective data poisoning attacks

Jonathan Gallagher, Yasaman Esfandiari, Callen MacPhee +1

This paper establishes a mathematically precise definition of dataset poisoning attack and proves that the very act of effectively poisoning a dataset ensures that the attack can b…

cs.LG2024

Self-Satisfied: An end-to-end framework for SAT generation and prediction

Christopher R. Serrano, Jonathan Gallagher, Kenji Yamada +2

The boolean satisfiability (SAT) problem asks whether there exists an assignment of boolean values to the variables of an arbitrary boolean formula making the formula evaluate to T…

cs.CV2024★ 2 cited

Development of a Dual-Input Neural Model for Detecting AI-Generated Imagery

Jonathan Gallagher, William Pugsley

Over the past years, images generated by artificial intelligence have become more prevalent and more realistic. Their advent raises ethical questions relating to misinformation, ar…

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