english
an archive of posts with this tag
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Workspace Viewer: A Self-Hosted Claude Code Remote Alternative via Jupyter Notebook
How to set up workspace-viewer with Jupyter Notebook as a lightweight, self-hosted alternative to Claude Code Remote
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[IEEE TII🎉] Prof. Hoki Kim's Research Team Publishes in Top 5% SCI Journal
Introduction to machine unlearning research in industrial AI environments
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[Award🎉] Grand Prize at the '2025 SW·AI Tech Fair' Outstanding Achievement Presentation
Lab competition and award achievement
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[NeurIPS🎉] Prof. Hoki Kim's Paper Accepted at World's Top AI Conference
Introduction to machine unlearning and recent lab research paper
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[NeurIPS🎉] Unlearning-Aware Minimization
Machine Unlearning and the recent research paper from our lab
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Extracting Robust Models with Uncertain Examples
Model Stealing and Application paper seminar material
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Perturbing Inputs to Prevent Model Stealing
Model Stealing and Application paper seminar material
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Preventing Neural Network Weight Stealing via Network Obfuscation
Model Stealing and Application paper seminar material
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Practical Black-Box Attacks against Machine Learning
Model Stealing and Application paper seminar material
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High Accuracy and High Fidelity Extraction of Neural Networks
Model Stealing and Application paper seminar material
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Hiding CNN Parameters with Guided Grad-CAM
Model Stealing and Application paper seminar material
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Prediction Poisoning: towards defenses against DNN model stealing attacks
Model Stealing and Application paper seminar materials
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Data-Free Model Extraction
Model Stealing and Application paper seminar materials
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PRADA: Protecting Against DNN Model Stealing Attacks
Model Stealing and Application paper seminar materials
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TOWARDS REVERSE-ENGINEERING BLACK-BOX NEURAL NETWORKS
Model Stealing and Application paper seminar materials
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Knockoff nets: Stealing Functionality of Black-box Models
Model Stealing and Application paper seminar materials
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Stealing Hyperparameters in Machine Learning
Model Stealing and Application paper seminar materials
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Stealing Machine Learning Models via Prediction APIs
Model Stealing and Application paper seminar materials
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[CVPR🎉] Kimcaddie AI Team's Golf Swing Analysis Technology Paper Presented at CVPR 2025 Workshop
Introduction to collaborative research from our lab
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Explaining determinants of bank failure prediction via neural additive model
Lab paper introduction: AI explainability
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Evaluating practical adversarial robustness of fault diagnosis systems via spectrogram-aware ensemble method
Lab paper introduction: AI robustness
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Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Machine Unlearning paper seminar material
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SCRUB Unlearning and Disadvantage of it
Machine Unlearning paper seminar material
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Approximate Data Deletion from Machine Learning Models
Machine Unlearning paper seminar material
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SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Machine Unlearning paper seminar material
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Defensive Unlearning with Adversarial Trainng for Robust Concept Erasure in Diffusion Models
Machine Unlearning paper seminar material
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Machine Unlearning of Features and Labels
Machine Unlearning paper seminar material
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Amnesiac Machine Learning
Machine Unlearning paper seminar material
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Evaluating Machine Unlearning via Epistemic Uncertainty
Machine Unlearning paper seminar material
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[NeurIPS🎉] Are Self-Attentions Effective for Time Series Forecasting?
Lab paper introduction: AI explainability
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Key Elements and Technical Challenges of Trustworthy AI
Concepts of trustworthy AI and introduction to our lab's key technologies
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AI Regulations and Trustworthiness
International and domestic AI-related regulations and AI trustworthiness
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Stability Analysis of Sharpness-Aware Minimization
Generalization and the recent research paper from our lab
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[NeurIPS🎉] Fantastic Robustness Measures: The Secrets of Robust Generalization
Adversarial robustness and the recent research paper from our lab