conftrace_

right to be forgotten

29 papers

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Also known as

RTBF

Co-occurring keywords · papers mentioning both

machine unlearning (24) federated unlearning (5) data deletion (4) data removal (4) data privacy (4) decision boundary (3) privacy preservation (3) federated learning (3) membership inference attack (2) graph neural network (2)

Papers

AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models AAAI 2026 FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness AAAI 2026 GUIC: Certified Graph Unlearning with Individual Fairness Guarantees AAAI 2026 Retaliatory Attacks Against Federated Unlearning via Data Leakage AAAI 2026 ``Alexa, can you forget me?'' Machine Unlearning Benchmark in Spoken Language Understanding Interspeech 2025 Community-Centric Graph Unlearning AAAI 2025 DynFrs: An Efficient Framework for Machine Unlearning in Random Forest ICLR 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 Fine-Grained and Efficient Self-Unlearning with Layered Iteration IJCAI 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 SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning UAI 2025 Zero-Shot Class Unlearning in CLIP with Synthetic Samples WACV 2025 Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric IJCAI 2025 CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence NeurIPS 2024 Fair Machine Unlearning: Data Removal while Mitigating Disparities AISTATS 2024 Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity NeurIPS 2024 Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation AAAI 2024 Machine Unlearning of Pre-trained Large Language Models ACL 2024 Rethinking Adversarial Robustness in the Context of the Right to be Forgotten ICML 2024 RRL: Recommendation Reverse Learning AAAI 2024 Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NeurIPS 2024 Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023 Empirical Study of Federated Unlearning: Efficiency and Effectiveness ACML 2023