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Maksym Andriushchenko

4 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CR1
  • cs.CY1
  • cs.SE1
same name
  • Maksym Andriushchenko — 13 papers
  • Maksym Andriushchenko — 3 papers, h 5
  • Maksym Andriushchenko — 2 papers

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

most citedInternational AI Safety Report 2025: First Key Update: Capabilities and Risk Implications

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

collaborators

4 papers

cs.CY2025★ 3 cited

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications

Yoshua Bengio, Stephen Clare, Carina Prunkl +70

Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New training techniques that teach AI systems to re…

cs.CR2025

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors

Chen Yueh-Han, Nitish Joshi, Yulin Chen +3

Current LLM safety defenses fail under decomposition attacks, where a malicious goal is decomposed into benign subtasks that circumvent refusals. The challenge lies in the existing…

cs.SE2025

OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents

Thomas Kuntz, Agatha Duzan, Hao Zhao +4

Computer use agents are LLM-based agents that can directly interact with a graphical user interface, by processing screenshots or accessibility trees. While these systems are gaini…

cs.CL2025

Jailbreak Distillation: Renewable Safety Benchmarking

Jingyu Zhang, Ahmed Elgohary, Xiawei Wang +5

Large language models (LLMs) are rapidly deployed in critical applications, raising urgent needs for robust safety benchmarking. We propose Jailbreak Distillation (JBDistill), a no…

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