Machine Unlearning

$\oslash$ Source Models Leak What They Shouldn't $\nrightarrow$: Unlearning Zero-Shot Transfer in Domain Adaptation Through Adversarial Optimization CVPR 2026 Abstract Gradient Training: A Unified Certification Framework for Data Poisoning, Unlearning, and Differential Privacy JMLR 2026 Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models ACL 2026 Controlling Path Dependence in Gradient Ascent Unlearning through Forget-Set Ordering UAI 2026 Designing to Forget: Deep Semi-parametric Models for Unlearning CVPR 2026 Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias AAAI 2026 From Narrow Unlearning to Emergent Misalignment in LLMs ACL 2026 Fully Decentralized Certified Unlearning CVPR 2026 GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment CVPR 2026 Knowledge Beyond Language: Bridging the Gap in Multilingual Machine Unlearning Evaluation ACL 2026 Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization CVPR 2026 Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem ACL 2026 SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning CVPR 2026 The Silence of the Facts: Popularity as a Barrier to Machine Unlearning ACL 2026 Thesis Proposal: Targeted and Unified Cross-Lingual Unlearning from Multilingual Language Models ACL 2026 CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP ACL 2025 Community-Centric Graph Unlearning AAAI 2025 Concept Forgetting via Label Annealing UAI 2025 Decoupled Distillation to Erase: A General Unlearning Method for Any Class-centric Tasks CVPR 2025 Disentangling Biased Knowledge from Reasoning in Large Language Models via Machine Unlearning ACL 2025 Distribution-Level Feature Distancing for Machine Unlearning: Towards a Better Trade-off Between Model Utility and Forgetting AAAI 2025 DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention SemEval 2025 Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning AAAI 2025 ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025 Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation Models CVPR 2025