Scholar
Jung-Eun Kim
Google Scholar ID: 8HpZmN0AAAAJ
Assistant Professor, Computer Science, North Carolina State University
Trustworthy AI
Interpretable AI
Efficient AI
AI Safety
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Citations & Impact
All-time
Citations
353
H-index
10
i10-index
11
Publications
20
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0
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Publications
9 items
Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference
2026
Cited
0
Learnability and Privacy Vulnerability are Entangled in a Few Critical Weights
2026
Cited
0
Decoupling Generalizability and Membership Privacy Risks in Neural Networks
2026
Cited
0
Impact of Layer Norm on Memorization and Generalization in Transformers
2025
Cited
0
Explaining How Quantization Disparately Skews a Model
2025
Cited
0
Severing Spurious Correlations with Data Pruning
2025
Cited
0
Trustworthy AI on Safety, Bias, and Privacy: A Survey
2025
Cited
0
Superficial Safety Alignment Hypothesis
arXiv.org · 2024
Cited
3
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Resume (English only)
Academic Achievements
Spotlight paper at ICLR 2025
IBM Faculty Award, 2023
NeurIPS Spotlight and Best Paper Award nomination, 2022
Selected for CRA Early & Mid Career Mentoring Workshops in 2023 and 2022
Co-PI on NSF SaTC grant (2020–2024): 'Partition-Oblivious Real-Time Hierarchical Scheduling'
NVIDIA GPU Grant, 2018
MIT EECS Rising Stars, 2015
Richard T. Cheng Endowed Fellowship, 2015–2016
Area Chair for ICLR 2026; Publicity Chair for IJCAI 2024; Senior Program Committee for AAAI 2024 (Safe, Robust and Responsible AI track)
Regular PC/Reviewer for ICLR, ICML, NeurIPS, AAAI, IJCAI (2023–2025)
Served on NSF review panels twice in 2023
Research covered by ACM Tech News, including work on spurious correlations and energy forecasting for sustainable AI
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