lab-seminar
an archive of posts with this tag
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Extracting Robust Models with Uncertain Examples
Model Stealing and Application 논문 세미나 자료
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Perturbing Inputs to Prevent Model Stealing
Model Stealing and Application 논문 세미나 자료
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Preventing Neural Network Weight Stealing via Network Obfuscation
Model Stealing and Application 논문 세미나 자료
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Practical Black-Box Attacks against Machine Learning
Model Stealing and Application 논문 세미나 자료
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High Accuracy and High Fidelity Extraction of Neural Networks
Model Stealing and Application 논문 세미나 자료
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Hiding CNN Parameters with Guided Grad-CAM
Model Stealing and Application 논문 세미나 자료
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Prediction Poisoning: towards defenses against DNN model stealing attacks
Model Stealing and Application 논문 세미나 자료
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Data-Free Model Extraction
Model Stealing and Application 논문 세미나 자료
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PRADA: Protecting Against DNN Model Stealing Attacks
Model Stealing and Application 논문 세미나 자료
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TOWARDS REVERSE-ENGINEERING BLACK-BOX NEURAL NETWORKS
Model Stealing and Application 논문 세미나 자료
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Knockoff nets: Stealing Functionality of Black-box Models
Model Stealing and Application 논문 세미나 자료
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Stealing Hyperparameters in Machine Learning
Model Stealing and Application 논문 세미나 자료
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Stealing Machine Learning Models via Prediction APIs
Model Stealing and Application 논문 세미나 자료
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Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement
머신언러닝(Machine Unlearning) 논문 세미나 자료
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SCRUB Unlearning and Disadvantage of it
머신언러닝(Machine Unlearning) 논문 세미나 자료
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Approximate Data Deletion from Machine Learning Models
머신언러닝(Machine Unlearning) 논문 세미나 자료
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SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
머신언러닝(Machine Unlearning) 논문 세미나 자료
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Defensive Unlearning with Adversarial Trainng for Robust Concept Erasure in Diffusion Models
머신언러닝(Machine Unlearning) 논문 세미나 자료
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Machine Unlearning of Features and Labels
머신언러닝(Machine Unlearning) 논문 세미나 자료
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Amnesiac Machine Learning
머신언러닝(Machine Unlearning) 논문 세미나 자료
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Evaluating Machine Unlearning via Epistemic Uncertainty
머신언러닝(Machine Unlearning) 논문 세미나 자료