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Christopher Leckie

10 papers hereh-index 111 citations11 works total

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

author position
  • middle author5
  • last author5

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV3
  • cs.CL2
same name
  • Christopher Leckie — 6 papers, h 2
  • Christopher Leckie — 4 papers, h 3
  • Christopher Leckie — 3 papers, h 1
  • Christopher Leckie — 2 papers, h 1
  • Christopher Leckie — 2 papers, h 1
  • Christopher Leckie — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
adversarial detection 1embedding space anisotropy 1geometric analysis 1multimodal robustness 1vision-language models 1

From the 1 of 10 linked papers with an AI index.

activity
20242026
most citedExploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection

2 citations · 2 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

GeoDetect: Geometric Adversarial Detection for VLPs

Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +2

The paper introduces GeoDetect, a method that uses geometric properties of vision‑language model embeddings to detect adversarial examples by measuring how far they deviate from th…

cs.CV2026

Density-Aware Translation of Spurious Correlations in Zero-Shot VLMs

Afsaneh Hasanebrahimi, Hanxun Huang, Christopher Leckie +1

Vision-Language models (VLMs), such as CLIP, achieve powerful zero-shot classification. However, their predictions remain sensitive to spurious correlations, where contextual cues…

cs.CV2025★ 2 cited

Exploiting Inter-Sample Information for Long-tailed Out-of-Distribution Detection

Nimeshika Udayangani, Hadi M. Dolatabadi, Sarah Erfani +1

Detecting out-of-distribution (OOD) data is essential for safe deployment of deep neural networks (DNNs). This problem becomes particularly challenging in the presence of long-tail…

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