주제로 연구실 찾기

1. Yonsei·머신러닝

   노승문AI-ISL

   관련도관련 논문 9편비중 24%연구 분야에 명시
   • 2026An Information Theoretic Evaluation Metric For Strong UnlearningAAAI
   • 2026Position: The Term “Machine Unlearning” Is Overused in LLMsICML
   • 2026Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning FailuresICLR
2. SNU·자연어처리·LLM

   정교민MI Lab

   관련도관련 논문 5편비중 7%연구 분야에 명시
   • 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust UnlearningICLR
   • 2026PEARL: Differentially Private and Entropy-Aware Regulated Language GenerationICML
   • 2026Personalized Privacy Control in LLMs via Attention Head InterventionEMNLP Findings
3. KAIST·AI 시스템

   김주영CAST Lab

   관련도관련 논문 4편비중 6%
   • 2026NetFED: Network-Aware Acceleration for Multi-Key Privacy-Preserving Federated Learning AggregationMICRO
   • 2026OmniCrypt: A 435.86M GOPS/W Bootstrappable Multi-Scheme FHE Accelerator with On-Chip Data Generation for Privacy-Preserving ComputationISSCC
   • 2026Trident: A 28nm 1.83-to-9.74 pJ/bit Multi-Parameter FHE Processor with Unified Constant Geometry Datapath for Privacy Preserving Client-Server ComputingA-SSCC
4. SNU·머신러닝

   문태섭M.IN.D Lab

   관련도관련 논문 2편비중 5%연구 분야에 명시
   • 2026PRISP: Privacy-Safe Few-Shot Personalization via Lightweight AdaptationACL
   • 2024Learning to Unlearn: Instance-wise Unlearning for Pre-trained ClassifiersAAAI
5. SNU·AI 시스템

   권태경MM Lab

   관련도관련 논문 4편비중 21%
   • 2026Measuring Apex TXT Bloat from DNS-Based Domain Verification: Growth, Privacy Implications, and Design RequirementsNSDI
   • 2025PAVE: Information Flow Control for Privacy-Preserving Online Data Processing ServicesASPLOS
   • 2025Reconsidering DNS-Based Domain Verification: Privacy and Overhead ImplicationsCCS
6. KAIST·머신러닝

   오성준STAI Lab

   관련도관련 논문 4편비중 9%
   • 2026Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language ModelsACL
   • 2026Break the Output Geometry for Large Language Model UnlearningICML
   • 2024Scaling Up Membership Inference: When and How Attacks Succeed on Large Language ModelsNAACL Findings
7. Yonsei·데이터 마이닝

   장백철ANDLab

   관련도관련 논문 1편비중 3%연구 분야에 명시
   • 2026Privacy-Preserving Trajectory Data Publication: A Distributed Approach without Trusted ServersJNCA
8. POSTECH·머신러닝

   김동우, 옥정슬, 박상돈, 박은혁ML Lab

   관련도관련 논문 4편비중 3%
   • 2026SAUL: Sharpness-Aware Augmented-Lagrangian UnlearningEMNLP Findings
   • 2025Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model UnlearningICCV
   • 2024Feature Unlearning for Pre-trained GANs and VAEsAAAI
9. Yonsei·머신러닝

   권태경AI Security Lab

   관련도관련 논문 1편비중 5%연구 분야에 명시
   • 2023Membership Inference Attacks with Token-Level Deduplication on Korean Language ModelsIEEE Access
10. KAIST·컴퓨터 비전

    주재걸DAVIAN Lab

    관련도관련 논문 4편비중 3%
    • 2025Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal TransportACL
    • 2024Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language ModelsEMNLP Findings
    • 2024Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language ModelsACL Findings
11. KU·컴퓨터 비전

    박경문VGI Lab

    관련도관련 논문 3편비중 7%
    • 2025Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-SpeechICML
    • 2025Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion ModelsNeurIPS
    • 2024Generative Unlearning for Any IdentityCVPR
12. Yonsei·컴퓨터 비전

    이종석MCML Group

    관련도연구 분야에 명시
13. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련도관련 논문 2편비중 9%
    • 2026SAUL: Sharpness-Aware Augmented-Lagrangian UnlearningEMNLP Findings
    • 2025Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model UnlearningICCV
14. Yonsei·머신러닝

    한동준Edge AI Lab

    관련도관련 논문 2편비중 5%
    • 2026Disentangled Sparse Representations for Concept-Separated Diffusion UnlearningNeurIPS
    • 2025PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative ModelsICLR
15. KU·자연어처리·LLM

    임희석NLP&AI Lab

    관련도관련 논문 2편비중 2%
    • 2026Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and AdaptationACL
    • 2025CoME: An Unlearning-based Approach to Conflict-free Model EditingNAACL
16. KAIST·자연어처리·LLM

    김현우COCO Lab

    관련도관련 논문 2편비중 11%
    • 2026A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy LeakageSaTML
    • 2024Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity TheoryICLR
17. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 2편비중 2%
    • 2026Forget What Matters, Keep the Rest: Selective Unlearning of Informative TokensACL
    • 2023Disposable Transfer Learning for Selective Source Task UnlearningICCV
18. SNU·데이터 마이닝

    강필성DSBA Lab

    관련도관련 논문 1편비중 2%
    • 2026AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMsICML
19. SNU·컴퓨터 비전

    최종현MPR Lab

    관련도관련 논문 1편비중 2%
    • 2026An Information Theoretic Evaluation Metric for Strong UnlearningAAAI
20. KAIST·컴퓨터 비전

    윤성의SGVR Lab

    관련도관련 논문 1편비중 2%
    • 2026No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted EmbeddingsICLR
21. KAIST·머신러닝

    윤철희OptiML Lab

    관련도관련 논문 1편비중 2%
    • 2026Machine Unlearning with a Destination: Tracking a Minimizer Path to the Retain-Only ObjectiveNeurIPS
22. KU·컴퓨터 비전

    김동현UTL Lab

    관련도관련 논문 1편비중 2%
    • 2026Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation ProtocolsEngineering Applications of Artificial Intelligence
23. Yonsei·자연어처리·LLM

    여진영Language & AGI Lab

    관련도관련 논문 1편비중 2%
    • 2026PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy ConstraintsACL Findings
24. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 1편비중 1%
    • 2026Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning EvaluationACL
25. SNU·음성·오디오

    이교구MARG

    관련도관련 논문 1편비중 1%
    • 2026Toward Privacy-Preserving ASR: Speaker-Level Machine UnlearningINTERSPEECH
26. SNU·머신러닝

    장병탁BI Lab

    관련도관련 논문 1편비중 1%
    • 2026PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral SamplesAAAI
27. SNU·컴퓨터 비전

    전세영ICL

    관련도관련 논문 1편비중 1%
    • 2026Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion ModelsCVPR
28. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 1편비중 1%
    • 2026CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM KnowledgeACL Findings
29. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 2편비중 3%
    • 2024Cultural differences in students’ privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United StatesComputers in Human Behavior Reports
    • 2023The Role of Gender in Students’ Privacy Concerns about Learning AnalyticsLAK
30. SNU·머신러닝

    박건웅Data Science & Machine Learning Lab

    관련도관련 논문 1편비중 14%
    • 2025Discretization: Privacy-preserving data publishing for causal discoveryComputational Statistics & Data Analysis
31. KU·자연어처리·LLM

    정우환Autonomous AI Lab

    관련도관련 논문 1편비중 6%
    • 2025DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model ParametersCOLING
32. KAIST·데이터 마이닝

    황의종Data Intelligence Lab

    관련도관련 논문 1편비중 4%
    • 2025PFGuard: A Generative Framework with Privacy and Fairness SafeguardsICLR
33. Yonsei·자연어처리·LLM

    김재형ML3 Lab

    관련도관련 논문 1편비중 2%
    • 2025Personalized Language Models via Privacy-Preserving Evolutionary Model MergingEMNLP
34. SNU·컴퓨터 비전

    김건희Vision & Learning Lab

    관련도관련 논문 1편비중 2%
    • 2025FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural FieldsICCV
35. SNU·컴퓨터 비전

    김영민3D Vision Lab

    관련도관련 논문 1편비중 2%
    • 2025Privacy-Preserving Visual Localization with Event CamerasIEEE TIP
36. SNU·컴퓨터 비전

    이경무, 한보형CV Lab

    관련도관련 논문 1편비중 1%
    • 2025Revisiting Machine Unlearning with Dimensional AlignmentWACV
37. KAIST·머신러닝

    신진우ALIN Lab

    관련도관련 논문 1편비중 1%
    • 2025Personalized Language Models via Privacy-Preserving Evolutionary Model MergingEMNLP
38. Yonsei·데이터 마이닝

    박상현DELAB

    관련도관련 논문 1편비중 2%
    • 2025Protecting Medical Privacy with Pretrained Language Models: Named Entity Recognition-based De-identification in Korean Unstructured Electronic Medical Recordsnpj Health Systems
39. KU·머신러닝

    이성환PRML Lab

    관련도관련 논문 1편비중 1%
    • 2025GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMsIJCNN
40. SNU·AI 시스템

    이재진THUNDER Research Group

    관련도관련 논문 1편비중 5%
    • 2024Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4EMNLP
41. KAIST·AI 시스템

    유민수VIA Research Group

    관련도관련 논문 1편비중 4%
    • 2024LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation ModelsASPLOS
42. SNU·AI for Science

    차지욱Connectome Lab

    관련도관련 논문 1편비중 3%
    • 2024Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine LearningICASSP
43. POSTECH·머신러닝

    이재호EffL Lab

    관련도관련 논문 1편비중 3%
    • 2024Few-shot UnlearningIEEE S&P
44. KAIST·머신러닝

    문재균

    관련도관련 논문 1편비중 5%
    • 2023EvoFed: Leveraging Evolutionary Strategies for Efficient and Privacy-Preserving Federated LearningNeurIPS
45. SNU·AI 시스템

    이영기HCS Lab

    관련도관련 논문 1편비중 3%
    • 2023Mosaic: Extremely Low-resolution RFID Vision for Privacy-preserving Action RecognitionIPSN
46. KAIST·자연어처리·LLM

    서민준LK Lab

    관련도관련 논문 1편비중 2%
    • 2023Knowledge Unlearning for Mitigating Privacy Risks in Language ModelsACL
47. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 1편비중 1%
    • 2023ProPILE: Probing Privacy Leakage in Large Language ModelsNeurIPS

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.