activity
20212026
most citedFDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization

3 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs

Guijin Son, Seungone Kim, Catherine Arnett +73

Following the recent achievement of gold-medal performance on the IMO by frontier LLMs, the community is searching for the next meaningful and challenging target for measuring LLM…

cs.CR2026

Scaling up FHE-based Privacy-Preserving ML: Higher Throughput, Longer Inputs for LLama-3-8B

Jaiyoung Park, Sejin Park, Jai Hyun Park +6

As large language models (LLMs) become ubiquitous, privacy concerns pertaining to inference keep growing. Fully homomorphic encryption (FHE) has emerged as a primary cryptographic…

cs.LG2024★ 2 cited

Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning

Joon Kim, Sejin Park

Federated Learning(FL), in theory, preserves privacy of individual clients' data while producing quality machine learning models. However, attacks such as Deep Leakage from Gradien…

math.AC2023

Uniform arithmetic in local rings via ultraproducts

Clay Adams, Francesca Cantor, Anese Gashi +4

We reinterpret various properties of Noetherian local rings via the existence of some -ary numerical function satisfying certain uniform bounds. We provide such characterization…

cs.CV2023★ 3 cited

FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization

Sejin Park, Taehyung Lee, Yeejin Lee +1

This work addresses the task of class-incremental weakly supervised object localization (CI-WSOL). The goal is to incrementally learn object localization for novel classes using on…

math.CO2023

Multivariate Fibonacci-like Polynomials and their Applications

Sejin Park, Etienne Phillips, Peikai Qi +2

The Fibonacci polynomials are defined recursively as , where and . We generalize these polynomials to an arbitrary number o…

cs.LG2021★ 3 cited

A molecular generative model with genetic algorithm and tree search for cancer samples

Sejin Park, Hyunju Lee

Personalized medicine is expected to maximize the intended drug effects and minimize side effects by treating patients based on their genetic profiles. Thus, it is important to gen…