◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Seong Joon Oh

Scalable Trustworthy AI (STAI) Group, University of Tübingen

49 papers hereh-index 3512.6k citations62 works total

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

author position
  • first author7
  • middle author25
  • last author16

Across the 48 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CV26
  • cs.LG15
  • cs.CL4
  • cs.CR2
  • cs.HC1
  • stat.ML1
affiliations
  • Scalable Trustworthy AI (STAI) Group, University of Tübingen
Homepage
same name
  • Seong Joon Oh — 12 papers, h 4
  • Seong Joon Oh — 2 papers, h 1
  • Seong Joon Oh — 1 paper

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

activity
20152026
most citedCutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

613 citations · 1.5k across the 47 of their papers we have counts for

collaborators
Showing cs.CRShow all

2 papers · 1 filter

cs.CR2023★ 21 cited

ProPILE: Probing Privacy Leakage in Large Language Models

Siwon Kim, Sangdoo Yun, Hwaran Lee +3

The rapid advancement and widespread use of large language models (LLMs) have raised significant concerns regarding the potential leakage of personally identifiable information (PI…

cs.CR2018★ 20 cited

Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning

Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang +2

Federated Learning (FL) systems are gaining popularity as a solution to training Machine Learning (ML) models from large-scale user data collected on personal devices (e.g., smartp…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.