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Ashkan Yousefpour

18 papers hereh-index 153.4k citations29 works total

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

author position
  • first author8
  • middle author9
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • cs.CL4
  • cs.NI4
  • cs.CV1
  • cs.CY1
same name
  • Ashkan Yousefpour — 1 paper

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

activity
20172025
most citedAll One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey

1.4k citations · 1.9k across the 18 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.LG2025

Representation Bending for Large Language Model Safety

Ashkan Yousefpour, Taeheon Kim, Ryan S. Kwon +7

Large Language Models (LLMs) have emerged as powerful tools, but their inherent safety risks - ranging from harmful content generation to broader societal harms - pose significant…

cs.CL2025

sudo rm -rf agentic_security

Sejin Lee, Jian Kim, Haon Park +3

Large Language Models (LLMs) are increasingly deployed as computer-use agents, autonomously performing tasks within real desktop or web environments. While this evolution greatly e…

cs.CL2025★ 1 cited

M2S: Multi-turn to Single-turn jailbreak in Red Teaming for LLMs

Junwoo Ha, Hyunjun Kim, Sangyoon Yu +4

We introduce a novel framework for consolidating multi-turn adversarial ``jailbreak'' prompts into single-turn queries, significantly reducing the manual overhead required for adve…

cs.CV2025

ELITE: Enhanced Language-Image Toxicity Evaluation for Safety

Wonjun Lee, Doehyeon Lee, Eugene Choi +5

Current Vision Language Models (VLMs) remain vulnerable to malicious prompts that induce harmful outputs. Existing safety benchmarks for VLMs primarily rely on automated evaluation…

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