conftrace_

concept removal

15 papers

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Co-occurring keywords · papers mentioning both

diffusion model (8) image generation (5) text-to-image model (4) concept erasure (3) representation learning (3) large language model (2) harmful content (2) machine unlearning (2) model safety (2) image editing (2)

Papers

MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models AAAI 2026 Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models AAAI 2026 AlignGuard: Scalable Safety Alignment for Text-to-Image Generation ICCV 2025 Black Hole-Driven Identity Absorbing in Diffusion Models CVPR 2025 Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization CVPR 2025 DuMo: Dual Encoder Modulation Network for Precise Concept Erasure AAAI 2025 Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts ICCV 2025 Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025 The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models CVPR 2025 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts NeurIPS 2024 Large Language Models Relearn Removed Concepts ACL 2024 Removing Spurious Concepts from Neural Network Representations via Joint Subspace Estimation ICML 2024 Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? ICLR 2024 What Happens to a Dataset Transformed by a Projection-based Concept Removal Method? COLING 2024 Probing Classifiers are Unreliable for Concept Removal and Detection NeurIPS 2022