Scholar
Kazuki Egashira
Google Scholar ID: lCLmXUkAAAAJ
ETH Zurich
Machine Learning
Security
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Citations & Impact
All-time
Citations
65
H-index
3
i10-index
1
Publications
7
Co-authors
19
list available
Contact
Email
kazuki.egashira@inf.ethz.ch
Twitter
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GitHub
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Publications
6 items
Fewer Weights, More Problems: A Practical Attack on LLM Pruning
2025
Cited
0
PULSE: Practical Evaluation Scenarios for Large Multimodal Model Unlearning
2025
Cited
0
WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks
2025
Cited
0
MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
2025
Cited
0
Mind the Gap: A Practical Attack on GGUF Quantization
2025
Cited
0
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation
arXiv.org · 2024
Cited
1
Resume (English only)
Academic Achievements
2025, 'Fewer Weights, More Problems: A Practical Attack on LLM Pruning', published in arXiv
2025, 'Mind the Gap: A Practical Attack on GGUF Quantization', published in ICML and presented orally at BuildingTrust@ICLR25
2024, 'Exploiting LLM Quantization', published in NeurIPS and presented orally at NextGenAISafety@ICML24
2025, IE Special Award (Japanese domestic conference)
2025, The Dean's Award of Graduate School of Information Science and Technology at Univ. of Tokyo
2023, MIRU Interactive Presentation Award (Japanese domestic conference)
Research Experience
Conducting research work at SRI Lab, with the position of PhD Student.
Background
Since June 2025, pursuing a Ph.D. at the Secure, Reliable, and Intelligent Systems Lab at ETH Zürich, advised by Prof. Martin Vechev.
Co-authors
19 total
Robin Staab
PhD Student at ETH Zurich
Martin Vechev
Full Professor of Computer Science, ETH Zurich; Scientific Director, INSAIT, Sofia University
Jingxuan He
UC Berkeley
Mark Vero
Google, ETH Zurich
Kiyoharu Aizawa
University of Tokyo
Atsuyuki Miyai
The University of Tokyo
Shota ONOHARA
The University of Tokyo
Yuki Imajuku
Sakana AI
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