Side Effects of Erasing Concepts from Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Saha, Shaswati, Saha, Sourajit, Gaur, Manas, Gokhale, Tejas |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
by: Saha, Sourajit, et al.
Published: (2024)
by: Saha, Sourajit, et al.
Published: (2024)
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
by: Patel, Maitreya, et al.
Published: (2023)
by: Patel, Maitreya, et al.
Published: (2023)
When Are Concepts Erased From Diffusion Models?
by: Lu, Kevin, et al.
Published: (2025)
by: Lu, Kevin, et al.
Published: (2025)
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
by: Bui, Anh, et al.
Published: (2024)
by: Bui, Anh, et al.
Published: (2024)
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
by: Fuchi, Masane, et al.
Published: (2024)
by: Fuchi, Masane, et al.
Published: (2024)
Revoking Amnesia: RL-based Trajectory Optimization to Resurrect Erased Concepts in Diffusion Models
by: Gao, Daiheng, et al.
Published: (2025)
by: Gao, Daiheng, et al.
Published: (2025)
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers
by: Huang, Chi-Pin, et al.
Published: (2023)
by: Huang, Chi-Pin, et al.
Published: (2023)
One-Dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications
by: Lyu, Mengyao, et al.
Published: (2023)
by: Lyu, Mengyao, et al.
Published: (2023)
EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment
by: Kusumba, Abhiram, et al.
Published: (2025)
by: Kusumba, Abhiram, et al.
Published: (2025)
ZENITH: Automated Gradient Norm Informed Stochastic Optimization
by: Saha, Dhrubo
Published: (2026)
by: Saha, Dhrubo
Published: (2026)
Erasing with Precision: Evaluating Specific Concept Erasure from Text-to-Image Generative Models
by: Fuchi, Masane, et al.
Published: (2025)
by: Fuchi, Masane, et al.
Published: (2025)
Flows and Diffusions on the Neural Manifold
by: Saragih, Daniel, et al.
Published: (2025)
by: Saragih, Daniel, et al.
Published: (2025)
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
by: Saha, Surojit, et al.
Published: (2025)
by: Saha, Surojit, et al.
Published: (2025)
Pruning for Robust Concept Erasing in Diffusion Models
by: Yang, Tianyun, et al.
Published: (2024)
by: Yang, Tianyun, et al.
Published: (2024)
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition
by: Saha, Utsab, et al.
Published: (2023)
by: Saha, Utsab, et al.
Published: (2023)
Investigating Deep Learning Models for Ejection Fraction Estimation from Echocardiography Videos
by: Saranyan, Shravan, et al.
Published: (2025)
by: Saranyan, Shravan, et al.
Published: (2025)
Erase at the Core: Representation Unlearning for Machine Unlearning
by: Lee, Jaewon, et al.
Published: (2026)
by: Lee, Jaewon, et al.
Published: (2026)
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
by: Wu, Yongliang, et al.
Published: (2024)
by: Wu, Yongliang, et al.
Published: (2024)
Unified Concept Editing in Diffusion Models
by: Gandikota, Rohit, et al.
Published: (2023)
by: Gandikota, Rohit, et al.
Published: (2023)
Unveiling Concept Attribution in Diffusion Models
by: Nguyen, Quang H., et al.
Published: (2024)
by: Nguyen, Quang H., et al.
Published: (2024)
Unlearning Concepts from Text-to-Video Diffusion Models
by: Liu, Shiqi, et al.
Published: (2024)
by: Liu, Shiqi, et al.
Published: (2024)
Separable Multi-Concept Erasure from Diffusion Models
by: Zhao, Mengnan, et al.
Published: (2024)
by: Zhao, Mengnan, et al.
Published: (2024)
BanglaNet: Bangla Handwritten Character Recognition using Ensembling of Convolutional Neural Network
by: Saha, Chandrika, et al.
Published: (2024)
by: Saha, Chandrika, et al.
Published: (2024)
MonoCon: A general framework for learning ultra-compact high-fidelity representations using monotonicity constraints
by: Gokhale, Shreyas
Published: (2025)
by: Gokhale, Shreyas
Published: (2025)
Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)
by: Shirkavand, Reza, et al.
Published: (2024)
CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models
by: He, Zhenghao, et al.
Published: (2026)
by: He, Zhenghao, et al.
Published: (2026)
LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models
by: Sun, Mengyu, et al.
Published: (2026)
by: Sun, Mengyu, et al.
Published: (2026)
The Promise of Analog Deep Learning: Recent Advances, Challenges and Opportunities
by: Datar, Aditya, et al.
Published: (2024)
by: Datar, Aditya, et al.
Published: (2024)
Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models
by: Petsiuk, Vitali, et al.
Published: (2024)
by: Petsiuk, Vitali, et al.
Published: (2024)
Matching High-Dimensional Geometric Quantiles for Test-Time Adaptation of Transformers and Convolutional Networks Alike
by: Danda, Sravan, et al.
Published: (2026)
by: Danda, Sravan, et al.
Published: (2026)
Forget Many, Forget Right: Scalable and Precise Concept Unlearning in Diffusion Models
by: Deng, Kaiyuan, et al.
Published: (2026)
by: Deng, Kaiyuan, et al.
Published: (2026)
Deep Clustering with Associative Memories
by: Saha, Bishwajit, et al.
Published: (2026)
by: Saha, Bishwajit, et al.
Published: (2026)
Concept Pinpoint Eraser for Text-to-image Diffusion Models via Residual Attention Gate
by: Lee, Byung Hyun, et al.
Published: (2025)
by: Lee, Byung Hyun, et al.
Published: (2025)
Concept Bottleneck Models Without Predefined Concepts
by: Schrodi, Simon, et al.
Published: (2024)
by: Schrodi, Simon, et al.
Published: (2024)
Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation
by: Xu, Boxun, et al.
Published: (2026)
by: Xu, Boxun, et al.
Published: (2026)
T2VUnlearning: A Concept Erasing Method for Text-to-Video Diffusion Models
by: Ye, Xiaoyu, et al.
Published: (2025)
by: Ye, Xiaoyu, et al.
Published: (2025)
PROBE: Diagnosing Residual Concept Capacity in Erased Text-to-Video Diffusion Models
by: Xie, Yiwei, et al.
Published: (2026)
by: Xie, Yiwei, et al.
Published: (2026)
Prompt Sliders for Fine-Grained Control, Editing and Erasing of Concepts in Diffusion Models
by: Sridhar, Deepak, et al.
Published: (2024)
by: Sridhar, Deepak, et al.
Published: (2024)
Optimizing CNN Architectures for Advanced Thoracic Disease Classification
by: Mirthipati, Tejas
Published: (2025)
by: Mirthipati, Tejas
Published: (2025)
Discovering Concept Directions from Diffusion-based Counterfactuals via Latent Clustering
by: Varshney, Payal, et al.
Published: (2025)
by: Varshney, Payal, et al.
Published: (2025)
Similar Items
-
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling
by: Saha, Sourajit, et al.
Published: (2024) -
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models
by: Patel, Maitreya, et al.
Published: (2023) -
When Are Concepts Erased From Diffusion Models?
by: Lu, Kevin, et al.
Published: (2025) -
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
by: Bui, Anh, et al.
Published: (2024) -
Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
by: Fuchi, Masane, et al.
Published: (2024)