주제로 연구실 찾기

1. KAIST·컴퓨터 비전

   윤성의SGVR Lab

   관련도관련 논문 8편비중 15%
   • 2026APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated ImagesECCV
   • 2026Beyond the Patch: Exploring Vulnerabilities of Visuomotor Policies via Viewpoint-Consistent 3D Adversarial ObjectICRA
   • 2026RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial PerturbationsECCV
2. Yonsei·머신러닝

   권태경AI Security Lab

   관련도관련 논문 6편비중 27%연구 분야에 명시
   • 2026Chimera: Compositional Jailbreak Attacks on LLMs via Judgment-Driven Search over Heterogeneous StrategiesACL Findings
   • 2026DAM: Dual-DPO Adversarial Multimodal Jailbreak Attacks on MLLMs via Contextual CamouflageACSAC
   • 2024Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial TrainingAISec
3. Yonsei·컴퓨터 비전

   이종석MCML Group

   관련도관련 논문 7편비중 22%
   • 2026Training-free framework for defending unsafe image synthesis attackICASSP
   • 2026DRIFT: Derailing denoising trajectories of flow-matching VLAs with adversarial patch attackACCV
   • 2025Exploring cross-stage adversarial transferability in class-incremental continual learningMMSP
4. KAIST·컴퓨터 비전

   노용만IVY Lab

   관련도관련 논문 8편비중 11%연구 분야에 명시
   • 2024Advancing Adversarial Training by Injecting Booster SignalIEEE TNNLS
   • 2024Defending Video Recognition Model against Adversarial Perturbations via Defense PatternsIEEE TDSC
   • 2023Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable RegressionCVPR
5. KU·머신러닝

   정종헌TAIL

   관련도관련 논문 4편비중 17%연구 분야에 명시
   • 2026WaTeRFlow: Watermark Temporal Robustness via Flow ConsistencyCVPR
   • 2024Adversarial Robustification via Text-to-Image Diffusion ModelsECCV
   • 2024Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessTMLR
6. KU·머신러닝

   이성환PRML Lab

   관련도관련 논문 8편비중 4%
   • 2026A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization through Proximity-to-Boundary ScoringIEEE TCYB
   • 2024Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial LearningPattern Recognition
   • 2024CHBaR: Conditional Hilbert Schmidt Bottleneck as Regularization for Adversarial RobustnessIEEE SMC
7. KAIST·머신러닝

   황성주MLAI Lab

   관련도관련 논문 7편비중 7%
   • 2026Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial PerturbationECCV
   • 2025Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety TuningICLR
   • 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion ModelsCVPR
8. KAIST·머신러닝

   신진우ALIN Lab

   관련도관련 논문 8편비중 6%
   • 2025Self-Refining Language Model Anonymizers via Adversarial DistillationNeurIPS
   • 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion ModelsCVPR
   • 2024Adversarial Robustification via Text-to-Image Diffusion ModelsECCV
9. KAIST·데이터 마이닝

   박찬영DSAIL

   관련도관련 논문 5편비중 5%
   • 2026Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response PredictionICML
   • 2026Progressive Multi-Agent Reasoning for Biological Perturbation PredictionICML
   • 2025On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and ApplicationsKDD
10. KAIST·머신러닝

    이기민

    관련도관련 논문 4편비중 9%
    • 2026Learning to generate unit test via adversarial reinforcement learningICLR
    • 2026Adversarial Iterative Unit Test Generation with Large Language ModelsICLR
    • 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion ModelsCVPR
11. SNU·머신러닝

    김용대IDEA Lab

    관련도관련 논문 3편비중 12%연구 분야에 명시
    • 2025TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical JustificationCVPR
    • 2023Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge DistillationICCV
    • 2023Improving adversarial robustness by putting more regularizations on less robust samplesICML
12. SNU·AI for Science

    김선BHI Lab

    관련도관련 논문 4편비중 7%
    • 2026Patient-level drug response prediction through dual adversarial alignment of pre- and post-drug treatment transcriptomic statesiscbAI26
    • 2026Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation RepresentationsBioKDD
    • 2025Transferring Preclinical Drug Response to Patient via Tumor Heterogeneity-Aware Alignment and Perturbation ModelingICLR
13. KAIST·머신러닝

    윤세영OSI Lab

    관련도관련 논문 4편비중 3%
    • 2026Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language ModelsNeurIPS
    • 2026Distilling Robustness: Mitigating Persona Sensitivity in Language Models via RLVR Teacher-Student TrainingAAAI
    • 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy OptimizationNeurIPS
14. SNU·컴퓨터 비전

    이경무, 한보형CV Lab

    관련도관련 논문 5편비중 6%
    • 2026Does a Hybrid Space-Aware Randomized Defense Improve Empirical and Certified Adversarial Robustness?ICML
    • 2025Re-evaluating Group Robustness via Adaptive Class-Specific ScalingWACV
    • 2024Robust Image Denoising through Adversarial Frequency MixupCVPR
15. KAIST·컴퓨터 비전

    윤국진VI Lab

    관련도관련 논문 5편비중 5%
    • 2026Improving Black-Box Generative Attacks via Generator Semantic ConsistencyICLR
    • 2025Boosting Adversarial Transferability with a Generative Model PerspectiveCVPR
    • 2024FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial AttacksAAAI
16. SNU·AI 시스템

    권태경MM Lab

    관련도관련 논문 3편비중 16%
    • 2026A Replay-Attack Resistant and Lightweight Token Validation Framework with Hash ChainICDCS
    • 2026Wi-Fi-based Detection of GNSS Spoofing AttacksIEEE ICC
    • 2025Leveraging Certificate Transparency to Mitigate Downgrade AttacksHotNets
17. KAIST·컴퓨터 비전

    김준모SIIT Lab

    관련도관련 논문 6편비중 7%
    • 2025Enhancing self-supervised visual representation learning through adversarially generated examplesNeural Computing and Applications
    • 2024ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic ObjectCVPR
    • 2024Towards Understanding Dual BN In Hybrid Adversarial TrainingTMLR
18. POSTECH·머신러닝

    박상돈Trustworthy ML Lab

    관련도관련 논문 3편비중 14%
    • 2026Online Conformal Abstention Under Adversarial Bandit FeedbackNeurIPS
    • 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret MinimizationICLR
    • 2025SOUNDBOOST: Effective RCA and Attack Detection for UAV via Acoustic Side-ChannelDSN
19. KAIST·머신러닝

    오성준STAI Lab

    관련도관련 논문 2편비중 4%연구 분야에 명시
    • 2024Scaling Up Membership Inference: When and How Attacks Succeed on Large Language ModelsNAACL Findings
    • 2024TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box IdentificationACL Findings
20. POSTECH·머신러닝

    김동우, 옥정슬, 박상돈, 박은혁ML Lab

    관련도관련 논문 4편비중 3%
    • 2026Online Conformal Abstention Under Adversarial Bandit FeedbackNeurIPS
    • 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret MinimizationICLR
    • 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective OptimizationICML
21. SNU·머신러닝

    오민환

    관련도관련 논문 4편비중 7%
    • 2025Adversarial Policy Optimization for Offline Preference-based Reinforcement LearningICLR
    • 2025Exploration via Feature Perturbation in Contextual BanditsNeurIPS
    • 2025Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit ProblemsNeurIPS
22. SNU·머신러닝

    윤성로AI Lab

    관련도관련 논문 5편비중 5%
    • 2025Regularizing hard examples improves adversarial robustnessJMLR
    • 2024Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object LocalizationTPAMI
    • 2024DAFA: Distance-Aware Fair Adversarial TrainingICLR
23. SNU·AI 시스템

    이진호AISys Lab

    관련도관련 논문 4편비중 10%
    • 2026CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged DocumentsEMNLP
    • 2024DataFreeShield: Defending Adversarial Attacks without Training DataICML
    • 2024PeerAiD: Improving Adversarial Distillation from a Specialized Peer TutorCVPR
24. POSTECH·자연어처리·LLM

    이근배, 김형훈NLP Lab

    관련도관련 논문 3편비중 4%
    • 2026Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language ModelsACL
    • 2025PanicToCalm: A Proactive Counseling Agent for Panic AttacksEMNLP
    • 2024Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue AgentsNAACL Findings
25. KAIST·머신러닝

    정혜원IIDS Lab

    관련도관련 논문 2편비중 9%
    • 2026Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial DistillationTMLR
    • 2026Towards Understanding Adversarial Distllation: Why Robust Teachers FailICML
26. POSTECH·AI for Science

    김원화, 류일우MIP Lab

    관련도관련 논문 4편비중 5%
    • 2025Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion PredictionMICCAI
    • 2024Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image SynthesisMICCAI
    • 2024Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic SegmentationWACV
27. KU·인간-AI 상호작용

    Christian WallravenCognitive Systems Lab

    관련도관련 논문 2편비중 7%
    • 2026Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainabilityMedical Image Analysis
    • 2026Unmasking deceptive decisions in a two-player competitive game: Integrating ERPs, spectral-perturbation signatures, and interpretable neural-network decodingBiological Psychology
28. SNU·자연어처리·LLM

    정교민MI Lab

    관련도관련 논문 3편비중 4%
    • 2026How You Ask Matters! Adaptive RAG Robustness to Query VariationsEMNLP
    • 2025Can You Trick the Grader? Adversarial Persuasion of LLM JudgesEMNLP Findings
    • 2023PR-MCS: Perturbation Robust Metric for MultiLingual Image CaptioningEMNLP Findings
29. SNU·데이터 마이닝

    강필성DSBA Lab

    관련도관련 논문 4편비중 10%
    • 2025RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution ShiftNeurocomputing
    • 2024Detection and Defense: Student-Teacher Network for Adversarial RobustnessIEEE Access
    • 2023Cost-Free Adversarial Defense: Distance-Based Optimization for Model Robustness without Adversarial TrainingComputer Vision and Image Understanding
30. KU·AI for Science

    감태의Medical AI Lab

    관련도관련 논문 3편비중 4%
    • 2026Subject-Invariant EEG Embeddings via Mixup and Adversarial Learning for Semantic RetrievalACM SAC
    • 2024Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic functional Brain Network GenerationIEEE JBHI
    • 2024A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive DisorderICPRAI
31. Yonsei·머신러닝

    노승문AI-ISL

    관련도관련 논문 3편비중 8%
    • 2026Few-Shot Truly Benign DPO Attack for Jailbreaking LLMsNeurIPS
    • 2024Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only ScenariosNeurIPS
    • 2023Generative Adversarial Networks for DNA Storage Channel SimulatorIEEE Access
32. KU·인간-AI 상호작용

    서승호HUI

    관련도관련 논문 3편비중 5%
    • 2026On the generalization limits of quantum generative adversarial networks with pure state generatorsScientific Reports
    • 2024AI-KD: Adversarial learning and Implicit regularization for self-Knowledge DistillationKnowledge-Based Systems
    • 2023TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE DistillationKnowledge-Based Systems
33. KAIST·데이터 마이닝

    박노성BigDyL

    관련도관련 논문 3편비중 4%
    • 2026Adversarial Robustness of Implicit Neural Representation-Based ClassifiersICML
    • 2024DataFreeShield: Defending Adversarial Attacks without Training DataICML
    • 2023Fast Adversarial Training with Dynamic Batch-level Attack ControlDAC
34. Yonsei·머신러닝

    조성배SCLAB

    관련도관련 논문 3편비중 4%
    • 2026Improving fairness of abusive language detection with multi-attribute adversarial latent discriminatorExpert Systems with Applications
    • 2024Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft GameIEEE CEC
    • 2023Adversarial Discriminator to Mitigate Gender Bias in Abusive Language DetectionECAI
35. Yonsei·컴퓨터 비전

    이상훈Multi-dimensional Insight Lab

    관련도관련 논문 2편비중 4%
    • 2026Enhancing Occlusion-Robustness for Micro-Expression RecognitionIEEE TMM
    • 2025Visibility-Aware Multi-View Stereo by Surface Normal Weighting for Occlusion RobustnessTPAMI
36. KAIST·자연어처리·LLM

    오혜연U&I Lab

    관련도관련 논문 2편비중 3%
    • 2026Cross-National Information Attacks: A Two-Decade Analysis of Troll Behavior in KoreaUSENIX Security
    • 2025Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesNeurIPS
37. KAIST·컴퓨터 비전

    김승룡CV Lab

    관련도관련 논문 2편비중 2%
    • 2026WaTeRFlow: Watermark Temporal Robustness via Flow ConsistencyCVPR
    • 2025Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow ModelsNeurIPS
38. KAIST·AI for Science

    예종철BISPL

    관련도관련 논문 3편비중 3%
    • 2025Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversionEuropean Journal of Radiology
    • 2024C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentationMedical Image Analysis
    • 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel SegmentationICLR
39. Yonsei·데이터 마이닝

    장백철ANDLab

    관련도관련 논문 2편비중 5%
    • 2026Defending against knowledge poisoning attacks during retrieval-augmented generationIEEE IRI
    • 2024Enhancing machine-generated text detection: Adversarial fine-tuning of pre-trained language modelsIEEE Access
40. SNU·머신러닝

    문태섭M.IN.D Lab

    관련도관련 논문 2편비중 5%
    • 2026Uncovering group robustness issue in early diagnosis of MCI to AD conversion and a simple solution: Decoupled classifier with adaptive linear modulationBiomedical Signal Processing and Control
    • 2024NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial PerturbationsWACV
41. KAIST·머신러닝

    안성수SPML Lab

    관련도관련 논문 2편비중 4%
    • 2026Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response PredictionICML
    • 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective OptimizationICML
42. KU·컴퓨터 비전

    김상필Computer Vision Lab

    관련도관련 논문 2편비중 4%
    • 2026WaTeRFlow: Watermark Temporal Robustness via Flow ConsistencyCVPR
    • 2024CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-based 3D Object DetectionAAAI
43. SNU·머신러닝

    장병탁BI Lab

    관련도관련 논문 2편비중 3%
    • 2026Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric LearningAAAI
    • 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement LearningICML
44. KAIST·머신러닝

    문재균

    관련도관련 논문 2편비중 10%
    • 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language ModelsICLR
    • 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural NetworksNeurIPS
45. Yonsei·로보틱스

    최종은MLCS Lab

    관련도관련 논문 2편비중 11%
    • 2026AdvMT: Adversarial motion transformer for long-term human motion predictionInternational Journal of Precision Engineering and Manufacturing
    • 2023Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbationsEngineering Applications of Artificial Intelligence
46. Yonsei·머신러닝

    한동준Edge AI Lab

    관련도관련 논문 2편비중 5%
    • 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language ModelsICLR
    • 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural NetworksNeurIPS
47. SNU·컴퓨터 비전

    곽노준MIPAL Lab

    관련도관련 논문 2편비중 2%
    • 2026Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model ReuseNeurIPS
    • 2023Correlation-Concealing Adversarial Noise Injection for Improved Disentanglement in Label-Based Image TranslationIEEE Access
48. KAIST·머신러닝

    양은호MLI Lab

    관련도관련 논문 2편비중 3%
    • 2026A Pilot Study on Doubt Robustness of LLMs in Clinical Prediction ExplanationICLR
    • 2023BiasAdv: Bias-Adversarial Augmentation for Model DebiasingCVPR
49. KAIST·데이터 마이닝

    황지영Big Data Intelligence Lab

    관련도관련 논문 2편비중 10%
    • 2025Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud DetectorsAAAI
    • 2024Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseNAACL Findings
50. SNU·AI 시스템

    김형신AIoT Lab

    관련도관련 논문 2편비중 6%
    • 2025ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud RestorationICLR
    • 2024Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor DomainsCVPR
51. KAIST·데이터 마이닝

    이재길Data Mining Lab

    관련도관련 논문 2편비중 5%
    • 2025Adversarial Style Augmentation via Large Language Model for Robust Fake News DetectionWWW
    • 2024Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and NoiseAAAI
52. SNU·AI 시스템

    안정호SCALable Computer Architecture Lab

    관련도관련 논문 2편비중 4%
    • 2025Marionette: A RowHammer Attack via Row CouplingASPLOS
    • 2024TAROT: A CXL SmartNIC-Based Defense Against Multi-bit Errors by Row-Hammer AttacksASPLOS
53. SNU·음성·오디오

    이교구MARG

    관련도관련 논문 2편비중 3%
    • 2025Few-step Adversarial Schrödinger Bridge for Generative Speech EnhancementINTERSPEECH
    • 2024Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial TrainingICASSP
54. KAIST·데이터 마이닝

    신기정Data Mining Lab

    관련도관련 논문 2편비중 2%
    • 2025On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and ApplicationsKDD
    • 2024Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic GraphsAAAI
55. KAIST·머신러닝

    이주호SIML Lab

    관련도관련 논문 2편비중 3%
    • 2025Learning diverse attacks on large language models for robust red-teaming and safety tuningICLR
    • 2024Spear and shield: adversarial attacks and defense methods for model-based link prediction on continuous-time dynamic graphsAAAI
56. SNU·자연어처리·LLM

    유영재PI Lab

    관련도관련 논문 2편비중 2%
    • 2025KL Penalty Control via Perturbation for Direct Preference OptimizationNeurIPS
    • 2024WILDTEAMING at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsNeurIPS
57. KAIST·컴퓨터 비전

    오태현AMI Lab

    관련도관련 논문 2편비중 2%
    • 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D AwarenessICCV
    • 2024Semi-Supervised Image Captioning by Adversarially Propagating Labeled DataIEEE Access
58. KAIST·데이터 마이닝

    황의종Data Intelligence Lab

    관련도관련 논문 2편비중 8%
    • 2025T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental LearningCVPR
    • 2023Redactor: A Data-centric and Individualized Defense Against Inference AttacksAAAI
59. SNU·인간-AI 상호작용

    강민석

    관련도관련 논문 2편비중 9%
    • 2024Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image GenerationFAccT
    • 2024Lexically-Constrained Automated Prompt Augmentation: A Case Study using Adversarial T2I DataNeurIPS
60. POSTECH·음성·오디오

    서영주AIoT Lab

    관련도관련 논문 2편비중 6%
    • 2024Exploring Public Data Vulnerabilities in Semi-Supervised Learning Models through Gray-box Adversarial AttackElectronics
    • 2024Empirical Investigation of Adversarial Attacks for Semi-Supervised Object DetectionICAIIC

+42

2026 논문이 아직 반영되지 않은 연구실은 결과에서 불리할 수 있어요.