Jinseong Park
9 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (23) π Renaissance Researcher (6) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(5)
πΊοΈ
Taxonomy Completionist
(23)
π₯
Mega-Team
(37)
π
Trend Setter
β
The Questioner
(3)
ποΈ
Keyword Collector
(50)
Conferences
NIPS (3)
EMNLP (2)
ICML (2)
AAAI (1)
CVPR (1)
Top co-authors
Research topics
Keywords
diffusion model
(2)
differential privacy
(2)
image classification
(1)
zero-shot learning
(1)
adversarial robustness
(1)
few-shot learning
(1)
prompt engineering
(1)
time series forecasting
(1)
robust classification
(1)
privacy preservation
(1)
adversarial training
(1)
neural network optimization
(1)
loss landscape
(1)
privacy-preserving learning
(1)
synthetic data generation
(1)
in-context learning
(1)
generative model
(1)
stochastic gradient descent
(1)
interval bound propagation
(1)
privacy-preserving machine learning
(1)
Papers
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
EMNLP 2025
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
CVPR 2024
Are Self-Attentions Effective for Time Series Forecasting?
NIPS 2024
Fair Sampling in Diffusion Models through Switching Mechanism
AAAI 2024
Differentially Private Sharpness-Aware Training
ICML 2023
Fantastic Robustness Measures: The Secrets of Robust Generalization
NIPS 2023
Implicit Jacobian regularization weighted with impurity of probability output
ICML 2023
Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples
NIPS 2021
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
EMNLP 2021