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Korea AI Labs

프라이버시 보호 학습

Privacy-preserving ML · 연구실 47곳 · 논문 82편

다른 주제·대학과 함께 찾기
POSTECH3/15
KU5/23
Yonsei8/37
KAIST14/57
SNU17/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. Yonsei머신러닝

    노승문AI-ISL

    관련 논문 9편비중 24%연구 분야에 명시
    • 2026An Information Theoretic Evaluation Metric For Strong Unlearning AAAI
    • 2026Position: The Term “Machine Unlearning” Is Overused in LLMs ICML
    • 2026Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures ICLR
  2. SNU자연어처리·LLM

    정교민MI Lab

    관련 논문 5편비중 7%연구 분야에 명시
    • 2026Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning ICLR
    • 2026PEARL: Differentially Private and Entropy-Aware Regulated Language Generation ICML
    • 2026Personalized Privacy Control in LLMs via Attention Head Intervention EMNLP Findings
  3. KAISTAI 시스템

    김주영CAST Lab

    관련 논문 4편비중 6%
    • 2026NetFED: Network-Aware Acceleration for Multi-Key Privacy-Preserving Federated Learning Aggregation MICRO
    • 2026OmniCrypt: A 435.86M GOPS/W Bootstrappable Multi-Scheme FHE Accelerator with On-Chip Data Generation for Privacy-Preserving Computation ISSCC
    • 2026Trident: A 28nm 1.83-to-9.74 pJ/bit Multi-Parameter FHE Processor with Unified Constant Geometry Datapath for Privacy Preserving Client-Server Computing A-SSCC
  4. SNU머신러닝

    문태섭M.IN.D Lab

    관련 논문 2편비중 5%연구 분야에 명시
    • 2026PRISP: Privacy-Safe Few-Shot Personalization via Lightweight Adaptation ACL
    • 2024Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers AAAI
  5. SNUAI 시스템

    권태경MM Lab

    관련 논문 4편비중 21%
    • 2026Measuring Apex TXT Bloat from DNS-Based Domain Verification: Growth, Privacy Implications, and Design Requirements NSDI
    • 2025PAVE: Information Flow Control for Privacy-Preserving Online Data Processing Services ASPLOS
    • 2025Reconsidering DNS-Based Domain Verification: Privacy and Overhead Implications CCS
  6. KAIST머신러닝

    오성준STAI Lab

    관련 논문 4편비중 9%
    • 2026Privacy Collapse: Benign Fine-Tuning Can Break Contextual Privacy in Language Models ACL
    • 2026Break the Output Geometry for Large Language Model Unlearning ICML
    • 2024Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL Findings
  7. Yonsei데이터 마이닝

    장백철ANDLab

    관련 논문 1편비중 3%연구 분야에 명시
    • 2026Privacy-Preserving Trajectory Data Publication: A Distributed Approach without Trusted Servers JNCA
  8. POSTECH머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련 논문 4편비중 3%
    • 2026SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning EMNLP Findings
    • 2025Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning ICCV
    • 2024Feature Unlearning for Pre-trained GANs and VAEs AAAI
  9. Yonsei머신러닝

    권태경AI Security Lab

    관련 논문 1편비중 5%연구 분야에 명시
    • 2023Membership Inference Attacks with Token-Level Deduplication on Korean Language Models IEEE Access
  10. KAIST컴퓨터 비전

    주재걸DAVIAN Lab

    관련 논문 4편비중 3%
    • 2025Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport ACL
    • 2024Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models EMNLP Findings
    • 2024Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models ACL Findings
  11. KU컴퓨터 비전

    박경문VGI Lab

    관련 논문 3편비중 7%
    • 2025Do Not Mimic My Voice: Speaker Identity Unlearning for Zero-Shot Text-to-Speech ICML
    • 2025Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models NeurIPS
    • 2024Generative Unlearning for Any Identity CVPR
  12. Yonsei컴퓨터 비전

    이종석MCML Group

    연구 분야에 명시
  13. POSTECH머신러닝

    박상돈Trustworthy ML Lab

    관련 논문 2편비중 9%
    • 2026SAUL: Sharpness-Aware Augmented-Lagrangian Unlearning EMNLP Findings
    • 2025Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning ICCV
  14. Yonsei머신러닝

    한동준Edge AI Lab

    관련 논문 2편비중 5%
    • 2026Disentangled Sparse Representations for Concept-Separated Diffusion Unlearning NeurIPS
    • 2025PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models ICLR
  15. KU자연어처리·LLM

    임희석NLP&AI Lab

    관련 논문 2편비중 2%
    • 2026Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation ACL
    • 2025CoME: An Unlearning-based Approach to Conflict-free Model Editing NAACL
  16. KAIST자연어처리·LLM

    김현우COCO Lab

    관련 논문 2편비중 11%
    • 2026A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage SaTML
    • 2024Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory ICLR
  17. KAIST컴퓨터 비전

    김준모SIIT Lab

    관련 논문 2편비중 2%
    • 2026Forget What Matters, Keep the Rest: Selective Unlearning of Informative Tokens ACL
    • 2023Disposable Transfer Learning for Selective Source Task Unlearning ICCV
  18. SNU데이터 마이닝

    강필성DSBA Lab

    관련 논문 1편비중 2%
    • 2026AlienLM: Alienization of Language for API-Boundary Privacy in Black-Box LLMs ICML
  19. SNU컴퓨터 비전

    최종현MPR Lab

    관련 논문 1편비중 2%
    • 2026An Information Theoretic Evaluation Metric for Strong Unlearning AAAI
  20. KAIST컴퓨터 비전

    윤성의SGVR Lab

    관련 논문 1편비중 2%
    • 2026No Caption, No Problem: Caption-Free Membership Inference via Model-Fitted Embeddings ICLR
  21. KAIST머신러닝

    윤철희OptiML Lab

    관련 논문 1편비중 2%
    • 2026Machine Unlearning with a Destination: Tracking a Minimizer Path to the Retain-Only Objective NeurIPS
  22. KU컴퓨터 비전

    김동현UTL Lab

    관련 논문 1편비중 2%
    • 2026Are We Truly Forgetting? A Critical Re-examination of Machine Unlearning Evaluation Protocols Engineering Applications of Artificial Intelligence
  23. Yonsei자연어처리·LLM

    여진영Language & AGI Lab

    관련 논문 1편비중 2%
    • 2026PAC-BENCH: Evaluating Multi-Agent Collaboration under Privacy Constraints ACL Findings
  24. SNU컴퓨터 비전

    곽노준MIPAL Lab

    관련 논문 1편비중 1%
    • 2026Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation ACL
  25. SNU음성·오디오

    이교구MARG

    관련 논문 1편비중 1%
    • 2026Toward Privacy-Preserving ASR: Speaker-Level Machine Unlearning INTERSPEECH
  26. SNU머신러닝

    장병탁BI Lab

    관련 논문 1편비중 1%
    • 2026PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples AAAI
  27. SNU컴퓨터 비전

    전세영ICL

    관련 논문 1편비중 1%
    • 2026Unlearning the Unpromptable: Prompt-free Instance Unlearning in Diffusion Models CVPR
  28. KAIST머신러닝

    양은호MLI Lab

    관련 논문 1편비중 1%
    • 2026CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge ACL Findings
  29. KAIST자연어처리·LLM

    오혜연U&I Lab

    관련 논문 2편비중 3%
    • 2024Cultural differences in students’ privacy concerns in learning analytics across Germany, South Korea, Spain, Sweden, and the United States Computers in Human Behavior Reports
    • 2023The Role of Gender in Students’ Privacy Concerns about Learning Analytics LAK
  30. SNU머신러닝

    박건웅Data Science & Machine Learning Lab

    관련 논문 1편비중 14%
    • 2025Discretization: Privacy-preserving data publishing for causal discovery Computational Statistics & Data Analysis
  31. KU자연어처리·LLM

    정우환Autonomous AI Lab

    관련 논문 1편비중 6%
    • 2025DP-FROST: Differentially Private Fine-tuning of Pre-trained Models with Freezing Model Parameters COLING
  32. KAIST데이터 마이닝

    황의종Data Intelligence Lab

    관련 논문 1편비중 4%
    • 2025PFGuard: A Generative Framework with Privacy and Fairness Safeguards ICLR
  33. Yonsei자연어처리·LLM

    김재형ML3 Lab

    관련 논문 1편비중 2%
    • 2025Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP
  34. SNU컴퓨터 비전

    김건희Vision & Learning Lab

    관련 논문 1편비중 2%
    • 2025FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV
  35. SNU컴퓨터 비전

    김영민3D Vision Lab

    관련 논문 1편비중 2%
    • 2025Privacy-Preserving Visual Localization with Event Cameras IEEE TIP
  36. SNU컴퓨터 비전

    이경무, 한보형CV Lab

    관련 논문 1편비중 1%
    • 2025Revisiting Machine Unlearning with Dimensional Alignment WACV
  37. KAIST머신러닝

    신진우ALIN Lab

    관련 논문 1편비중 1%
    • 2025Personalized Language Models via Privacy-Preserving Evolutionary Model Merging EMNLP
  38. Yonsei데이터 마이닝

    박상현DELAB

    관련 논문 1편비중 2%
    • 2025Protecting Medical Privacy with Pretrained Language Models: Named Entity Recognition-based De-identification in Korean Unstructured Electronic Medical Records npj Health Systems
  39. KU머신러닝

    이성환PRML Lab

    관련 논문 1편비중 1%
    • 2025GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMs IJCNN
  40. SNUAI 시스템

    이재진THUNDER Research Group

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

    유민수VIA Research Group

    관련 논문 1편비중 4%
    • 2024LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models ASPLOS
  42. SNUAI for Science

    차지욱Connectome Lab

    관련 논문 1편비중 3%
    • 2024Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy Preserving Quantum Machine Learning ICASSP
  43. POSTECH머신러닝

    이재호EffL Lab

    관련 논문 1편비중 3%
    • 2024Few-shot Unlearning IEEE S&P
  44. KAIST머신러닝

    문재균

    관련 논문 1편비중 5%
    • 2023EvoFed: Leveraging Evolutionary Strategies for Efficient and Privacy-Preserving Federated Learning NeurIPS
  45. SNUAI 시스템

    이영기HCS Lab

    관련 논문 1편비중 3%
    • 2023Mosaic: Extremely Low-resolution RFID Vision for Privacy-preserving Action Recognition IPSN
  46. KAIST자연어처리·LLM

    서민준LK Lab

    관련 논문 1편비중 2%
    • 2023Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL
  47. SNU머신러닝

    윤성로AI Lab

    관련 논문 1편비중 1%
    • 2023ProPILE: Probing Privacy Leakage in Large Language Models NeurIPS