conftrace_

data removal

15 papers

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Co-occurring keywords · papers mentioning both

machine unlearning (12) right to be forgotten (4) privacy preservation (4) influence function (2) large language model (1) graph neural network (1) machine learning as a service (1) parameter-efficient training (1) spatio-temporal graph (1) model augmentation (1)

Papers

Adversarial Mixup Unlearning ICLR 2025 CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025 Editable Concept Bottleneck Models ICML 2025 Efficient Unlearning for Spatio-temporal Graph (Student Abstract) AAAI 2025 How to Make Reproducible Research in Machine Unlearning with ERASURE IJCAI 2025 Invisible Watermarks, Visible Gains: Steering Machine Unlearning with Bi-Level Watermarking Design ICCV 2025 Reveal and Release: Iterative LLM Unlearning with Self-generated Data EMNLP 2025 SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning UAI 2025 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 Deep Regression Unlearning ICML 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023 How Many and Which Training Points Would Need to be Removed to Flip this Prediction? EACL 2023 Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022 PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022 Certified Data Removal from Machine Learning Models ICML 2020