machine unlearning

Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026 REMIND: Memorization and Unlearning in LLMs Through the Lens of Input Loss Landscapes ACL 2026 REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature AAAI 2026 Roots Beneath the Cut: Uncovering the Risk of Concept Revival in Pruning-Based Unlearning for Diffusion Models CVPR 2026 SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning CVPR 2026 SANER: Switchable Adapter with Non-parametric Enhanced Routing for Person De-Reidentification CVPR 2026 Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models CVPR 2026 Selective Span-Level Unlearning for Large Language Models ACL 2026 SGPVT: Self-Generated Proximal Visual Tokens for Mitigating Proximal Collateral Damage in MLLM Unlearning ACL 2026 SineProject: Machine Unlearning for Stable Vision-Language Alignment CVPR 2026 Stake the Points: Structure-Faithful Instance Unlearning CVPR 2026 STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models AAAI 2026 Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning AAAI 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 TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models CVPR 2026 Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models AAAI 2026 Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models CVPR 2026 TUNE: A Task For Turkish Machine Unlearning For Data Privacy EACL 2026 UMMF: Protecting Copyright of Large Vision-Language Models through Unlearning-based Multimodal Memorization Fingerprint ACL 2026 UnGuide: Learning to Forget with LoRA-Guided Diffusion Models UAI 2026 Unintended Memorization of Sensitive Information in Fine-Tuned Language Models EACL 2026 Unlearners Can Lie: Evaluating and Improving Honesty in LLM Unlearning ACL 2026 Unlearning without Forgetting: Securely Removing Targeted Concepts from Large-Scale Vision-Language Open-Vocabulary Detectors CVPR 2026 VL-Eraser: Vacuum Distillation for Machine Unlearning in Vision-Language Models CVPR 2026