Erasing CLIP Memories: Non-Destructive, Data-Free Zero-Shot class Unlearning in CLIP Models
Fuente:
arXiv
Saved in:
| Main Authors: | Mishra, Ashish, Kumar, Tarun, Nayak, Gyanaranjan, Shah, Arpit, Bhattacharya, Suparna, Foltin, Martin |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Selective, Controlled and Domain-Agnostic Unlearning in Pretrained CLIP: A Training- and Data-Free Approach
by: Mishra, Ashish, et al.
Published: (2025)
by: Mishra, Ashish, et al.
Published: (2025)
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
by: Kravets, A., et al.
Published: (2024)
by: Kravets, A., et al.
Published: (2024)
Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024)
by: Martin, Ségolène, et al.
Published: (2024)
Online Zero-Shot Classification with CLIP
by: Qian, Qi, et al.
Published: (2024)
by: Qian, Qi, et al.
Published: (2024)
AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
by: Fang, Qingqing, et al.
Published: (2025)
by: Fang, Qingqing, et al.
Published: (2025)
CLIP-Decoder : ZeroShot Multilabel Classification using Multimodal CLIP Aligned Representation
by: Ali, Muhammad, et al.
Published: (2024)
by: Ali, Muhammad, et al.
Published: (2024)
AdaCLIP: Adapting CLIP with Hybrid Learnable Prompts for Zero-Shot Anomaly Detection
by: Cao, Yunkang, et al.
Published: (2024)
by: Cao, Yunkang, et al.
Published: (2024)
FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
by: Dehdashtian, Sepehr, et al.
Published: (2024)
by: Dehdashtian, Sepehr, et al.
Published: (2024)
Dual-Image Enhanced CLIP for Zero-Shot Anomaly Detection
by: Zhang, Zhaoxiang, et al.
Published: (2024)
by: Zhang, Zhaoxiang, et al.
Published: (2024)
MSCI: Addressing CLIP's Inherent Limitations for Compositional Zero-Shot Learning
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification
by: Munir, Ans, et al.
Published: (2025)
by: Munir, Ans, et al.
Published: (2025)
HAC: Parameter-Efficient Hyperbolic Adaptation of CLIP for Zero-Shot VQA
by: Dibitonto, Francesco, et al.
Published: (2026)
by: Dibitonto, Francesco, et al.
Published: (2026)
GenCLIP: Generalizing CLIP Prompts for Zero-shot Anomaly Detection
by: Kim, Donghyeong, et al.
Published: (2025)
by: Kim, Donghyeong, et al.
Published: (2025)
CLIP-FSAC++: Few-Shot Anomaly Classification with Anomaly Descriptor Based on CLIP
by: Zuo, Zuo, et al.
Published: (2024)
by: Zuo, Zuo, et al.
Published: (2024)
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
by: Metzen, Jan Hendrik, et al.
Published: (2023)
by: Metzen, Jan Hendrik, et al.
Published: (2023)
Hold-One-Shot-Out (HOSO) for Validation-Free Few-Shot CLIP Adapters
by: Vorster, Chris, et al.
Published: (2026)
by: Vorster, Chris, et al.
Published: (2026)
FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance
by: Zhuang, Jiedong, et al.
Published: (2024)
by: Zhuang, Jiedong, et al.
Published: (2024)
Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge
by: Sammani, Fawaz, et al.
Published: (2024)
by: Sammani, Fawaz, et al.
Published: (2024)
Enhancing Zero-Shot Anomaly Detection: CLIP-SAM Collaboration with Cascaded Prompts
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN
by: Guo, Yufei, et al.
Published: (2023)
by: Guo, Yufei, et al.
Published: (2023)
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
by: Stangl, Kevin, et al.
Published: (2024)
by: Stangl, Kevin, et al.
Published: (2024)
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
by: Li, Shengze, et al.
Published: (2024)
by: Li, Shengze, et al.
Published: (2024)
Unlearning the Noisy Correspondence Makes CLIP More Robust
by: Han, Haochen, et al.
Published: (2025)
by: Han, Haochen, et al.
Published: (2025)
MV-CLIP: Multi-View CLIP for Zero-shot 3D Shape Recognition
by: Song, Dan, et al.
Published: (2023)
by: Song, Dan, et al.
Published: (2023)
CLAIR: CLIP-Aided Weakly Supervised Zero-Shot Cross-Domain Image Retrieval
by: Tan, Chor Boon, et al.
Published: (2025)
by: Tan, Chor Boon, et al.
Published: (2025)
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
by: Li, Yunheng, et al.
Published: (2024)
by: Li, Yunheng, et al.
Published: (2024)
PA-CLIP: Enhancing Zero-Shot Anomaly Detection through Pseudo-Anomaly Awareness
by: Pan, Yurui, et al.
Published: (2025)
by: Pan, Yurui, et al.
Published: (2025)
StackCLIP: Clustering-Driven Stacked Prompt in Zero-Shot Industrial Anomaly Detection
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
Zero Shot Context-Based Object Segmentation using SLIP (SAM+CLIP)
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
by: Gundavarapu, Saaketh Koundinya, et al.
Published: (2024)
Semantic Relation-Enhanced CLIP Adapter for Domain Adaptive Zero-Shot Learning
by: Yu, Jiaao, et al.
Published: (2025)
by: Yu, Jiaao, et al.
Published: (2025)
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
by: Zhao, Shuai, et al.
Published: (2023)
by: Zhao, Shuai, et al.
Published: (2023)
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation
by: Saito, Nagito, et al.
Published: (2025)
by: Saito, Nagito, et al.
Published: (2025)
Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts
by: Liang, Tong, et al.
Published: (2025)
by: Liang, Tong, et al.
Published: (2025)
The Curious Case of End Token: A Zero-Shot Disentangled Image Editing using CLIP
by: Yesiltepe, Hidir, et al.
Published: (2024)
by: Yesiltepe, Hidir, et al.
Published: (2024)
Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP
by: Li, Yayuan, et al.
Published: (2024)
by: Li, Yayuan, et al.
Published: (2024)
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?
by: Marzullo, Aldo, et al.
Published: (2024)
by: Marzullo, Aldo, et al.
Published: (2024)
PureCLIP-Depth: Prompt-Free and Decoder-Free Monocular Depth Estimation within CLIP Embedding Space
by: Miya, Ryutaro, et al.
Published: (2026)
by: Miya, Ryutaro, et al.
Published: (2026)
AA-CLIP: Enhancing Zero-shot Anomaly Detection via Anomaly-Aware CLIP
by: Ma, Wenxin, et al.
Published: (2025)
by: Ma, Wenxin, et al.
Published: (2025)
UnHype: CLIP-Guided Hypernetworks for Dynamic LoRA Unlearning
by: Wójcik, Piotr, et al.
Published: (2026)
by: Wójcik, Piotr, et al.
Published: (2026)
Erase at the Core: Representation Unlearning for Machine Unlearning
by: Lee, Jaewon, et al.
Published: (2026)
by: Lee, Jaewon, et al.
Published: (2026)
Similar Items
-
Selective, Controlled and Domain-Agnostic Unlearning in Pretrained CLIP: A Training- and Data-Free Approach
by: Mishra, Ashish, et al.
Published: (2025) -
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
by: Kravets, A., et al.
Published: (2024) -
Transductive Zero-Shot and Few-Shot CLIP
by: Martin, Ségolène, et al.
Published: (2024) -
Online Zero-Shot Classification with CLIP
by: Qian, Qi, et al.
Published: (2024) -
AF-CLIP: Zero-Shot Anomaly Detection via Anomaly-Focused CLIP Adaptation
by: Fang, Qingqing, et al.
Published: (2025)