관련 연구실
등급은 학회·저널 분류이며 연구실 순위가 아닙니다.
- KAIST컴퓨터 비전
윤성의SGVR Lab
관련 논문 8편비중 15%- 2026APT: Anchor-aligned Perturbations for Tamper Localization in Fully Regenerated Images ECCV
- 2026Beyond the Patch: Exploring Vulnerabilities of Visuomotor Policies via Viewpoint-Consistent 3D Adversarial Object ICRA
- 2026RoME: Robust Mixture of Low-Rank Experts against Multiple Adversarial Perturbations ECCV
- Yonsei머신러닝
권태경AI Security Lab
관련 논문 6편비중 27%연구 분야에 명시- 2026Chimera: Compositional Jailbreak Attacks on LLMs via Judgment-Driven Search over Heterogeneous Strategies ACL Findings
- 2026DAM: Dual-DPO Adversarial Multimodal Jailbreak Attacks on MLLMs via Contextual Camouflage ACSAC
- 2024Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training AISec
- Yonsei컴퓨터 비전
이종석MCML Group
관련 논문 7편비중 22%- 2026Training-free framework for defending unsafe image synthesis attack ICASSP
- 2026DRIFT: Derailing denoising trajectories of flow-matching VLAs with adversarial patch attack ACCV
- 2025Exploring cross-stage adversarial transferability in class-incremental continual learning MMSP
- KAIST컴퓨터 비전
노용만IVY Lab
관련 논문 8편비중 11%연구 분야에 명시- 2024Advancing Adversarial Training by Injecting Booster Signal IEEE TNNLS
- 2024Defending Video Recognition Model against Adversarial Perturbations via Defense Patterns IEEE TDSC
- 2023Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR
- KU머신러닝
정종헌TAIL
관련 논문 4편비중 17%연구 분야에 명시- 2026WaTeRFlow: Watermark Temporal Robustness via Flow Consistency CVPR
- 2024Adversarial Robustification via Text-to-Image Diffusion Models ECCV
- 2024Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness TMLR
- KU머신러닝
이성환PRML Lab
관련 논문 8편비중 4%- 2026A Novel Adversarial Approach for EEG Dataset Refinement: Enhancing Generalization through Proximity-to-Boundary Scoring IEEE TCYB
- 2024Appearance Debiased Gaze Estimation via Stochastic Subject-Wise Adversarial Learning Pattern Recognition
- 2024CHBaR: Conditional Hilbert Schmidt Bottleneck as Regularization for Adversarial Robustness IEEE SMC
- KAIST머신러닝
황성주MLAI Lab
관련 논문 7편비중 7%- 2026Learning from Adversity: Semantic-Aware Mask Refinement through Adversarial Perturbation ECCV
- 2025Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning ICLR
- 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR
- KAIST머신러닝
신진우ALIN Lab
관련 논문 8편비중 6%- 2025Self-Refining Language Model Anonymizers via Adversarial Distillation NeurIPS
- 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR
- 2024Adversarial Robustification via Text-to-Image Diffusion Models ECCV
- KAIST데이터 마이닝
박찬영DSAIL
관련 논문 5편비중 5%- 2026Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction ICML
- 2026Progressive Multi-Agent Reasoning for Biological Perturbation Prediction ICML
- 2025On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications KDD
- KAIST머신러닝
이기민
관련 논문 4편비중 9%- 2026Learning to generate unit test via adversarial reinforcement learning ICLR
- 2026Adversarial Iterative Unit Test Generation with Large Language Models ICLR
- 2025Silent Branding Attack: Trigger-free Data Poisoning Attack on Text-to-Image Diffusion Models CVPR
- SNU머신러닝
김용대IDEA Lab
관련 논문 3편비중 12%연구 분야에 명시- 2025TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification CVPR
- 2023Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV
- 2023Improving adversarial robustness by putting more regularizations on less robust samples ICML
- SNUAI for Science
김선BHI Lab
관련 논문 4편비중 7%- 2026Patient-level drug response prediction through dual adversarial alignment of pre- and post-drug treatment transcriptomic states iscbAI26
- 2026Predicting Therapeutic Outcome via Aligning Patient-Specific Knowledge Graph and Gene-Level Perturbation Representations BioKDD
- 2025Transferring Preclinical Drug Response to Patient via Tumor Heterogeneity-Aware Alignment and Perturbation Modeling ICLR
- KAIST머신러닝
윤세영OSI Lab
관련 논문 4편비중 3%- 2026Stage-wise Attention-Guided Region Sequencing for Adversarial Attacks on Large Vision-Language Models NeurIPS
- 2026Distilling Robustness: Mitigating Persona Sensitivity in Language Models via RLVR Teacher-Student Training AAAI
- 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization NeurIPS
- SNU컴퓨터 비전
이경무, 한보형CV Lab
관련 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 Scaling WACV
- 2024Robust Image Denoising through Adversarial Frequency Mixup CVPR
- KAIST컴퓨터 비전
윤국진VI Lab
관련 논문 5편비중 5%- 2026Improving Black-Box Generative Attacks via Generator Semantic Consistency ICLR
- 2025Boosting Adversarial Transferability with a Generative Model Perspective CVPR
- 2024FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks AAAI
- SNUAI 시스템
권태경MM Lab
관련 논문 3편비중 16%- 2026A Replay-Attack Resistant and Lightweight Token Validation Framework with Hash Chain ICDCS
- 2026Wi-Fi-based Detection of GNSS Spoofing Attacks IEEE ICC
- 2025Leveraging Certificate Transparency to Mitigate Downgrade Attacks HotNets
- KAIST컴퓨터 비전
김준모SIIT Lab
관련 논문 6편비중 7%- 2025Enhancing self-supervised visual representation learning through adversarially generated examples Neural Computing and Applications
- 2024ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object CVPR
- 2024Towards Understanding Dual BN In Hybrid Adversarial Training TMLR
- POSTECH머신러닝
박상돈Trustworthy ML Lab
관련 논문 3편비중 14%- 2026Online Conformal Abstention Under Adversarial Bandit Feedback NeurIPS
- 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization ICLR
- 2025SOUNDBOOST: Effective RCA and Attack Detection for UAV via Acoustic Side-Channel DSN
- KAIST머신러닝
오성준STAI Lab
관련 논문 2편비중 4%연구 분야에 명시- 2024Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models NAACL Findings
- 2024TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification ACL Findings
- POSTECH머신러닝
김동우, 옥정슬, 박상돈, 박은혁ML Lab
관련 논문 4편비중 3%- 2026Online Conformal Abstention Under Adversarial Bandit Feedback NeurIPS
- 2026Online Conformal Prediction with Adversarial Semi-bandit Feedback via Regret Minimization ICLR
- 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML
- SNU머신러닝
오민환
관련 논문 4편비중 7%- 2025Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning ICLR
- 2025Exploration via Feature Perturbation in Contextual Bandits NeurIPS
- 2025Revisiting Follow-the-Perturbed-Leader with Unbounded Perturbations in Bandit Problems NeurIPS
- SNU머신러닝
윤성로AI Lab
관련 논문 5편비중 5%- 2025Regularizing hard examples improves adversarial robustness JMLR
- 2024Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization TPAMI
- 2024DAFA: Distance-Aware Fair Adversarial Training ICLR
- SNUAI 시스템
이진호AISys Lab
관련 논문 4편비중 10%- 2026CamoDocs: A Poisoning Attack Against Retrieval-Augmented Language Models Using Camouflaged Documents EMNLP
- 2024DataFreeShield: Defending Adversarial Attacks without Training Data ICML
- 2024PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR
- POSTECH자연어처리·LLM
이근배, 김형훈NLP Lab
관련 논문 3편비중 4%- 2026Merging Triggers, Breaking Backdoors: Defensive Poisoning for Instruction-Tuned Language Models ACL
- 2025PanicToCalm: A Proactive Counseling Agent for Panic Attacks EMNLP
- 2024Adversarial DPO: Harnessing Harmful Data for Reducing Toxicity with Minimal Impact on Coherence and Evasiveness in Dialogue Agents NAACL Findings
- KAIST머신러닝
정혜원IIDS Lab
관련 논문 2편비중 9%- 2026Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation TMLR
- 2026Towards Understanding Adversarial Distllation: Why Robust Teachers Fail ICML
- POSTECHAI for Science
김원화, 류일우MIP Lab
관련 논문 4편비중 5%- 2025Adaptive Adversarial Data Augmentation with Trajectory Constraint for Alzheimer’s Disease Conversion Prediction MICCAI
- 2024Uncertainty-aware Diffusion-based Adversarial Attack for Realistic Colonoscopy Image Synthesis MICCAI
- 2024Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation WACV
- KU인간-AI 상호작용
Christian WallravenCognitive Systems Lab
관련 논문 2편비중 7%- 2026Establishing the robustness metric as a scalable proxy for clinical relevance in medical AI explainability Medical Image Analysis
- 2026Unmasking deceptive decisions in a two-player competitive game: Integrating ERPs, spectral-perturbation signatures, and interpretable neural-network decoding Biological Psychology
- SNU자연어처리·LLM
정교민MI Lab
관련 논문 3편비중 4%- 2026How You Ask Matters! Adaptive RAG Robustness to Query Variations EMNLP
- 2025Can You Trick the Grader? Adversarial Persuasion of LLM Judges EMNLP Findings
- 2023PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning EMNLP Findings
- SNU데이터 마이닝
강필성DSBA Lab
관련 논문 4편비중 10%- 2025RobustMixGen: Data Augmentation for Enhancing Robustness of Visual-Language Models in the Presence of Distribution Shift Neurocomputing
- 2024Detection and Defense: Student-Teacher Network for Adversarial Robustness IEEE Access
- 2023Cost-Free Adversarial Defense: Distance-Based Optimization for Model Robustness without Adversarial Training Computer Vision and Image Understanding
- KUAI for Science
감태의Medical AI Lab
관련 논문 3편비중 4%- 2026Subject-Invariant EEG Embeddings via Mixup and Adversarial Learning for Semantic Retrieval ACM SAC
- 2024Graph-based Conditional Generative Adversarial Networks for Major Depressive Disorder Diagnosis with Synthetic functional Brain Network Generation IEEE JBHI
- 2024A Comparative Study: Enhancing Conditional Generative Adversarial Networks for Functional Connectivity Synthesis in Major Depressive Disorder ICPRAI
- Yonsei머신러닝
노승문AI-ISL
관련 논문 3편비중 8%- 2026Few-Shot Truly Benign DPO Attack for Jailbreaking LLMs NeurIPS
- 2024Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios NeurIPS
- 2023Generative Adversarial Networks for DNA Storage Channel Simulator IEEE Access
- KU인간-AI 상호작용
서승호HUI
관련 논문 3편비중 5%- 2026On the generalization limits of quantum generative adversarial networks with pure state generators Scientific Reports
- 2024AI-KD: Adversarial learning and Implicit regularization for self-Knowledge Distillation Knowledge-Based Systems
- 2023TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation Knowledge-Based Systems
- KAIST데이터 마이닝
박노성BigDyL
관련 논문 3편비중 4%- 2026Adversarial Robustness of Implicit Neural Representation-Based Classifiers ICML
- 2024DataFreeShield: Defending Adversarial Attacks without Training Data ICML
- 2023Fast Adversarial Training with Dynamic Batch-level Attack Control DAC
- Yonsei머신러닝
조성배SCLAB
관련 논문 3편비중 4%- 2026Improving fairness of abusive language detection with multi-attribute adversarial latent discriminator Expert Systems with Applications
- 2024Extended Generative Adversarial Imitation Learning for Autonomous Agents in Minecraft Game IEEE CEC
- 2023Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection ECAI
- Yonsei컴퓨터 비전
이상훈Multi-dimensional Insight Lab
관련 논문 2편비중 4%- 2026Enhancing Occlusion-Robustness for Micro-Expression Recognition IEEE TMM
- 2025Visibility-Aware Multi-View Stereo by Surface Normal Weighting for Occlusion Robustness TPAMI
- KAIST자연어처리·LLM
오혜연U&I Lab
관련 논문 2편비중 3%- 2026Cross-National Information Attacks: A Two-Decade Analysis of Troll Behavior in Korea USENIX Security
- 2025Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties NeurIPS
- KAIST컴퓨터 비전
김승룡CV Lab
관련 논문 2편비중 2%- 2026WaTeRFlow: Watermark Temporal Robustness via Flow Consistency CVPR
- 2025Where and How to Perturb: On the Design of Perturbation Guidance in Diffusion and Flow Models NeurIPS
- KAISTAI for Science
예종철BISPL
관련 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 conversion European Journal of Radiology
- 2024C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation Medical Image Analysis
- 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR
- Yonsei데이터 마이닝
장백철ANDLab
관련 논문 2편비중 5%- 2026Defending against knowledge poisoning attacks during retrieval-augmented generation IEEE IRI
- 2024Enhancing machine-generated text detection: Adversarial fine-tuning of pre-trained language models IEEE Access
- SNU머신러닝
문태섭M.IN.D Lab
관련 논문 2편비중 5%- 2026Uncovering group robustness issue in early diagnosis of MCI to AD conversion and a simple solution: Decoupled classifier with adaptive linear modulation Biomedical Signal Processing and Control
- 2024NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations WACV
- KAIST머신러닝
안성수SPML Lab
관련 논문 2편비중 4%- 2026Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction ICML
- 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML
- KU컴퓨터 비전
김상필Computer Vision Lab
관련 논문 2편비중 4%- 2026WaTeRFlow: Watermark Temporal Robustness via Flow Consistency CVPR
- 2024CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-based 3D Object Detection AAAI
- SNU머신러닝
장병탁BI Lab
관련 논문 2편비중 3%- 2026Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning AAAI
- 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML
- KAIST머신러닝
문재균
관련 논문 2편비중 10%- 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models ICLR
- 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS
- Yonsei로보틱스
최종은MLCS Lab
관련 논문 2편비중 11%- 2026AdvMT: Adversarial motion transformer for long-term human motion prediction International Journal of Precision Engineering and Manufacturing
- 2023Distributional and hierarchical reinforcement learning for physical systems with noisy state observations and exogenous perturbations Engineering Applications of Artificial Intelligence
- Yonsei머신러닝
한동준Edge AI Lab
관련 논문 2편비중 5%- 2026Identifying Robust Neural Pathways: Few-Shot Adversarial Mask Tuning for Vision-Language Models ICLR
- 2023NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks NeurIPS
- SNU컴퓨터 비전
곽노준MIPAL Lab
관련 논문 2편비중 2%- 2026Clean Data Can Still Carry Backdoors: Support-Persistent Backdoors for Model Reuse NeurIPS
- 2023Correlation-Concealing Adversarial Noise Injection for Improved Disentanglement in Label-Based Image Translation IEEE Access
- KAIST머신러닝
양은호MLI Lab
관련 논문 2편비중 3%- 2026A Pilot Study on Doubt Robustness of LLMs in Clinical Prediction Explanation ICLR
- 2023BiasAdv: Bias-Adversarial Augmentation for Model Debiasing CVPR
- KAIST데이터 마이닝
황지영Big Data Intelligence Lab
관련 논문 2편비중 10%- 2025Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors AAAI
- 2024Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise NAACL Findings
- SNUAI 시스템
김형신AIoT Lab
관련 논문 2편비중 6%- 2025ConcreTizer: Model Inversion Attack via Occupancy Classification and Dispersion Control for 3D Point Cloud Restoration ICLR
- 2024Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR
- KAIST데이터 마이닝
이재길Data Mining Lab
관련 논문 2편비중 5%- 2025Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection WWW
- 2024Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI
- SNUAI 시스템
안정호SCALable Computer Architecture Lab
관련 논문 2편비중 4%- 2025Marionette: A RowHammer Attack via Row Coupling ASPLOS
- 2024TAROT: A CXL SmartNIC-Based Defense Against Multi-bit Errors by Row-Hammer Attacks ASPLOS
- SNU음성·오디오
이교구MARG
관련 논문 2편비중 3%- 2025Few-step Adversarial Schrödinger Bridge for Generative Speech Enhancement INTERSPEECH
- 2024Music Auto-Tagging with Robust Music Representation Learned via Domain Adversarial Training ICASSP
- KAIST데이터 마이닝
신기정Data Mining Lab
관련 논문 2편비중 2%- 2025On Measuring Unnoticeability of Graph Adversarial Attacks: Observations, New Measure, and Applications KDD
- 2024Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs AAAI
- KAIST머신러닝
이주호SIML Lab
관련 논문 2편비중 3%- 2025Learning diverse attacks on large language models for robust red-teaming and safety tuning ICLR
- 2024Spear and shield: adversarial attacks and defense methods for model-based link prediction on continuous-time dynamic graphs AAAI
- SNU자연어처리·LLM
유영재PI Lab
관련 논문 2편비중 2%- 2025KL Penalty Control via Perturbation for Direct Preference Optimization NeurIPS
- 2024WILDTEAMING at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models NeurIPS
- KAIST컴퓨터 비전
오태현AMI Lab
관련 논문 2편비중 2%- 2025Self-Supervised Collaborative Distillation: Enhancing Lighting Robustness and 3D Awareness ICCV
- 2024Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data IEEE Access
- KAIST데이터 마이닝
황의종Data Intelligence Lab
관련 논문 2편비중 8%- 2025T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning CVPR
- 2023Redactor: A Data-centric and Individualized Defense Against Inference Attacks AAAI
- SNU인간-AI 상호작용
강민석
관련 논문 2편비중 9%- 2024Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation FAccT
- 2024Lexically-Constrained Automated Prompt Augmentation: A Case Study using Adversarial T2I Data NeurIPS
- POSTECH음성·오디오
서영주AIoT Lab
관련 논문 2편비중 6%- 2024Exploring Public Data Vulnerabilities in Semi-Supervised Learning Models through Gray-box Adversarial Attack Electronics
- 2024Empirical Investigation of Adversarial Attacks for Semi-Supervised Object Detection ICAIIC
- KU음성·오디오
김찬우SLPL
관련 논문 1편비중 4%- 2026SISER : Speaker Invariant Speech Emotion Recognition with Entropy-Based Adversarial Training INTERSPEECH
- KUAI for Science
서현석IMPEL Lab
관련 논문 1편비중 4%- 2026Taming Gradient Perturbations: Probabilistic Reparameterization for Robust Physics-Informed MRI Protocol Optimization ICML
- SNU데이터 마이닝
박현우DIAL Lab
관련 논문 1편비중 3%- 2026Market Signal Injection: Adversarial Context Manipulation of LLM Pricing Agents EMNLP
- KAISTAI for Science
김우연Intelligent Chemistry Lab
관련 논문 1편비중 3%- 2026Learning Adaptive Perturbation-Conditioned Contexts for Robust Transcriptional Response Prediction ICML
- YonseiAI for Science
김호진LESSON Lab
관련 논문 1편비중 3%- 2026Evaluation of skin dose robustness in breast radiotherapy using VMAT planning technique: a phantom-based surface dosimetry study Physics in Medicine and Biology
- KAIST머신러닝
박진규System Intelligence Lab
관련 논문 1편비중 2%- 2026Active Attacks: Red-teaming LLMs via Adaptive Environments ICML
- KAIST컴퓨터 비전
심현정CVML Lab
관련 논문 1편비중 2%- 2026Mitigating Perceptual Judgment Bias in Multimodal LLM-as-a-Judge via Perceptual Perturbation and Reward Modeling ICML
- KAIST음성·오디오
정준선Multimodal AI Lab
관련 논문 2편비중 2%- 2024Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification ICASSP
- 2024To what extent can ASV systems naturally defend against spoofing attacks? INTERSPEECH
- POSTECH컴퓨터 비전
곽수하, 조민수, 손진희CV Lab
관련 논문 2편비중 2%- 2024Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization ICML
- 2024Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation WACV
- KU컴퓨터 비전
박경문VGI Lab
관련 논문 1편비중 2%- 2026Unsupervised Domain Adaptation for Medical Image Segmentation Using Adaptogen-Perturbation Medical Image Analysis
- Yonsei자연어처리·LLM
한요섭TOC Lab
관련 논문 1편비중 2%- 2026DITTO: A Spoofing Attack Framework on Watermarked LLMs via Knowledge Distillation EACL
- SNU로보틱스
김현진LARR Lab
관련 논문 1편비중 1%- 2026Geometric Backstepping Control of Omnidirectional Tiltrotors Incorporating Servo–Rotor Dynamics for Robustness against Sudden Disturbances ICRA
- KAISTAI 시스템
김주영CAST Lab
관련 논문 1편비중 1%- 2026Distance Is Not Enough: Forget-Retain Alignment Gap Predicts LLM Relearning Robustness EMNLP
- Yonsei머신러닝
송경우MLAI Lab
관련 논문 1편비중 1%- 2026Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness ICLR
- Yonsei컴퓨터 비전
오유진OMAEL
관련 논문 2편비중 18%- 2024C-DARL: Contrastive Diffusion Adversarial Representation Learning for Label-free Blood Vessel Segmentation Medical Image Analysis
- 2023Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation ICLR
- SNU머신러닝2026 업데이트 중
강명주NCIA Lab
관련 논문 2편비중 5%- 2024Analyzing and Improving Optimal-Transport-based Adversarial Networks ICLR
- 2023A Unified Framework for Robustness on Diverse Sampling Errors ICCV
- SNU머신러닝
이정우CML Lab
관련 논문 2편비중 4%- 2024Group-wise Verifiable Coded Computing under Byzantine Attacks and Stragglers IEEE TIFS
- 2023Robust Rate-Matching Framework for Multibeam Satellite Communications with Phase Perturbations GLOBECOM Workshop
- SNU머신러닝
양인순LDS Lab
관련 논문 2편비중 7%- 2023Data-driven stochastic optimization using upper confidence bounds: Performance guarantees and distributional robustness CDC
- 2023Distributional robustness in minimax linear quadratic control with Wasserstein distance SIAM Journal on Control and Optimization
- SNUAI 시스템
김재준VLSI Lab
관련 논문 2편비중 4%- 2023Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis NeurIPS
- 2023Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation WACV
- KAIST머신러닝
김기응AIPR Lab
관련 논문 1편비중 4%- 2025DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization NeurIPS
- KAIST머신러닝
윤철희OptiML Lab
관련 논문 1편비중 2%- 2025The Cost of Robustness: Tighter Bounds on Parameter Complexity for Robust Memorization in ReLU Nets NeurIPS
- KAIST머신러닝
최재식SAIL Lab
관련 논문 1편비중 2%- 2025On the Relationship between Populated Regions and Adversarial Robustness in Deep Neural Networks ICDM
- KU컴퓨터 비전
김동현UTL Lab
관련 논문 1편비중 2%- 2025ZIUM: Zero-Shot Intent-Aware Adversarial Attack on Unlearned Models ICCV
- SNU컴퓨터 비전
김건희Vision & Learning Lab
관련 논문 1편비중 2%- 2025Can LLMs Deceive CLIP? Benchmarking Adversarial Compositionality of Pre-trained Multimodal Representation via Text Updates ACL
- SNU컴퓨터 비전
조남익ISPL
관련 논문 1편비중 2%- 2025Semantic Watermarking Reinvented: Enhancing Robustness and Generation Quality with Fourier Integrity ICCV
- KAISTAI for Science
최윤재
관련 논문 1편비중 2%- 2025Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties NeurIPS
- KU자연어처리·LLM
임희석NLP&AI Lab
관련 논문 1편비중 1%- 2025FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models NAACL Findings
- Yonsei컴퓨터 비전
김선주CIPLab
관련 논문 1편비중 2%- 2025Visual Fidelity vs. Robustness: Trade-Off Analysis of Image Adversarial Watermark Mitigated by SSIM Loss ICLR
- SNU머신러닝
이상학Causality Lab
관련 논문 1편비중 3%- 2024Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML
- SNU자연어처리·LLM
이재윤SKI-ML Lab
관련 논문 1편비중 4%- 2024Enhancing Robustness of Retrieval-Augmented Language Models with In-Context Learning ACL
- KU머신러닝
김성웅, 임성빈AGI Lab
관련 논문 1편비중 3%- 2024Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization IROS
- SNU로보틱스
오성회Robot Learning Lab
관련 논문 1편비중 2%- 2024Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS
- SNU컴퓨터 비전
최종현MPR Lab
관련 논문 1편비중 2%- 2024DataFreeShield: Defending Adversarial Attacks without Training Data ICML
- Yonsei데이터 마이닝
박상현DELAB
관련 논문 1편비중 2%- 2024Time-series to Image-transformed Adversarial Autoencoder for Anomaly Detection IEEE Access
- SNU그래픽스
원정담Intelligent Motion Lab
관련 논문 1편비중 5%- 2023ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters SIGGRAPH Asia
- SNU자연어처리·LLM
이상구IDS Lab
관련 논문 1편비중 6%- 2023Probing Out-of-Distribution Robustness of Language Models with Parameter-Efficient Transfer Learning *SEM
- SNU머신러닝
이원종DRL Lab
관련 논문 1편비중 4%- 2023AID-purifier: A light auxiliary network for boosting adversarial defense Author links open overlay panel Neurocomputing
- SNU컴퓨터 비전
이준석VIP Lab
관련 논문 1편비중 2%- 2023A Unified Framework for Robustness on Diverse Sampling Errors ICCV
- SNU컴퓨터 비전
전세영ICL
관련 논문 1편비중 1%- 2023On the Robustness of Normalizing Flows for Inverse Problems in Imaging ICCV
- Yonsei자연어처리·LLM
김재형ML3 Lab
관련 논문 1편비중 2%- 2023RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training EMNLP Findings
- Yonsei컴퓨터 비전
황성재MICV Lab
관련 논문 1편비중 2%- 2023Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve Machine Learning
- KAIST컴퓨터 비전
김현우MLV Lab
관련 논문 1편비중 1%- 2023Deep Learning based Detection for Multiple Cache Side-channel Attacks IEEE TIFS