privacy
an archive of posts with this tag
-
중앙대학교 산업보안학과 김호기 교수 연구진, 상위 5% SCI 저널 게재
산업 AI 환경에서의 머신 언러닝 연구 성과 소개
-
Prof. Hoki Kim's Research Team Publishes in Top 5% SCI Journal
Introduction to machine unlearning research in industrial AI environments
-
AI의 내재적 위협과 외재적 위협
AI의 내재적 위협과 외재적 위협, 그리고 신뢰성 확보 핵심 요소
-
Intrinsic and Extrinsic Threats of AI
The two layers of AI threats and the essentials of trustworthy AI
-
중앙대학교 산업보안학과 김호기 교수 논문, 세계 최고 인공지능 학회 채택
머신 언러닝과 최근 연구실 논문 소개
-
Prof. Hoki Kim's Paper Accepted at World's Top AI Conference
Introduction to machine unlearning and recent lab research paper
-
Unlearning-Aware Minimization
머신 언러닝과 최근 연구실 논문 소개
-
Unlearning-Aware Minimization
Machine Unlearning and the recent research paper from our lab
-
Extracting Robust Models with Uncertain Examples
Model Stealing and Application 논문 세미나 자료
-
Extracting Robust Models with Uncertain Examples
Model Stealing and Application paper seminar material
-
Perturbing Inputs to Prevent Model Stealing
Model Stealing and Application 논문 세미나 자료
-
Perturbing Inputs to Prevent Model Stealing
Model Stealing and Application paper seminar material
-
Preventing Neural Network Weight Stealing via Network Obfuscation
Model Stealing and Application 논문 세미나 자료
-
Preventing Neural Network Weight Stealing via Network Obfuscation
Model Stealing and Application paper seminar material
-
Practical Black-Box Attacks Against Machine Learning
Model Stealing and Application 논문 세미나 자료
-
Practical Black-Box Attacks Against Machine Learning
Model Stealing and Application paper seminar material
-
High Accuracy and High Fidelity Extraction of Neural Networks
Model Stealing and Application 논문 세미나 자료
-
High Accuracy and High Fidelity Extraction of Neural Networks
Model Stealing and Application paper seminar material
-
Hiding CNN Parameters with Guided Grad-CAM
Model Stealing and Application 논문 세미나 자료
-
Hiding CNN Parameters with Guided Grad-CAM
Model Stealing and Application paper seminar material
-
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Model Stealing and Application 논문 세미나 자료
-
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Model Stealing and Application paper seminar materials
-
Data-Free Model Extraction
Model Stealing and Application 논문 세미나 자료
-
Data-Free Model Extraction
Model Stealing and Application paper seminar materials
-
PRADA: Protecting Against DNN Model Stealing Attacks
Model Stealing and Application 논문 세미나 자료
-
PRADA: Protecting Against DNN Model Stealing Attacks
Model Stealing and Application paper seminar materials
-
Towards Reverse-Engineering Black-Box Neural Networks
Model Stealing and Application 논문 세미나 자료
-
Towards Reverse-Engineering Black-Box Neural Networks
Model Stealing and Application paper seminar materials
-
Knockoff Nets: Stealing Functionality of Black-Box Models
Model Stealing and Application 논문 세미나 자료
-
Knockoff Nets: Stealing Functionality of Black-Box Models
Model Stealing and Application paper seminar materials
-
Stealing Hyperparameters in Machine Learning
Model Stealing and Application 논문 세미나 자료
-
Stealing Hyperparameters in Machine Learning
Model Stealing and Application paper seminar materials
-
Stealing Machine Learning Models via Prediction APIs
Model Stealing and Application 논문 세미나 자료
-
Stealing Machine Learning Models via Prediction APIs
Model Stealing and Application paper seminar materials
-
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
Machine Unlearning paper seminar material
-
Towards Unbounded Machine Unlearning
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Towards Unbounded Machine Unlearning
Machine Unlearning paper seminar material
-
Approximate Data Deletion from Machine Learning Models
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Approximate Data Deletion from Machine Learning Models
Machine Unlearning paper seminar material
-
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
Machine Unlearning paper seminar material
-
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models
Machine Unlearning paper seminar material
-
Machine Unlearning of Features and Labels
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Machine Unlearning of Features and Labels
Machine Unlearning paper seminar material
-
Amnesiac Machine Learning
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Amnesiac Machine Learning
Machine Unlearning paper seminar material
-
Evaluating Machine Unlearning via Epistemic Uncertainty
머신언러닝(Machine Unlearning) 논문 세미나 자료
-
Evaluating Machine Unlearning via Epistemic Uncertainty
Machine Unlearning paper seminar material
-
신뢰할 수 있는 인공지능의 핵심 요소와 기술적 과제
신뢰할 수 있는 인공지능의 개념 및 연구실의 주요 기술 소개
-
Key Elements and Technical Challenges of Trustworthy AI
Concepts of trustworthy AI and introduction to our lab's key technologies
-
인공지능 규제와 신뢰성
국제·국내 인공지능 관련 규제와 인공지능 신뢰성
-
AI Regulations and Trustworthiness
International and domestic AI-related regulations and AI trustworthiness