Cover Image

Localizing Memorization in SSL Vision Encoders

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wenhao, Dziedzic, Adam, Backes, Michael, Boenisch, Franziska
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Captured by Captions: On Memorization and its Mitigation in CLIP Models
by: Wang, Wenhao, et al.
Published: (2025)

Radioactive Watermarks in Diffusion and Autoregressive Image Generative Models
by: Meintz, Michel, et al.
Published: (2025)

Privacy Attacks on Image AutoRegressive Models
by: Kowalczuk, Antoni, et al.
Published: (2025)

Implementing Adaptations for Vision AutoRegressive Model
by: Shaikh, Kaif, et al.
Published: (2025)

Finding DoRI: Discovery of Retained Images in Diffusion Models
by: Kowalczuk, Antoni, et al.
Published: (2025)

Localizing and Mitigating Memorization in Image Autoregressive Models
by: Kasliwal, Aditya, et al.
Published: (2025)

Demystifying Foreground-Background Memorization in Diffusion Models
by: Di, Jimmy Z., et al.
Published: (2025)

Precise Parameter Localization for Textual Generation in Diffusion Models
by: Staniszewski, Łukasz, et al.
Published: (2025)

Memorization in Self-Supervised Learning Improves Downstream Generalization
by: Wang, Wenhao, et al.
Published: (2024)

Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
by: Kumar, Aditya, et al.
Published: (2025)

Memorization in Graph Neural Networks
by: Jamadandi, Adarsh, et al.
Published: (2025)

BitMark: Watermarking Bitwise Autoregressive Image Generative Models
by: Kerner, Louis, et al.
Published: (2025)

Déjà Vu Memorization in Vision-Language Models
by: Jayaraman, Bargav, et al.
Published: (2024)

Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models
by: Hintersdorf, Dominik, et al.
Published: (2024)

Quantifying Cross-Modality Memorization in Vision-Language Models
by: Wen, Yuxin, et al.
Published: (2025)

Conditioned Activation Transport for T2I Safety Steering
by: Chrabąszcz, Maciej, et al.
Published: (2026)

SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-based Image Generation
by: Kociszewski, Jan, et al.
Published: (2026)

Multimodal Autoregressive Pre-training of Large Vision Encoders
by: Fini, Enrico, et al.
Published: (2024)

Activation Quantization of Vision Encoders Needs Prefixing Registers
by: Kim, Seunghyeon, et al.
Published: (2025)

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders
by: Jiang, Yitong, et al.
Published: (2026)

Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers
by: Li, Xianhang, et al.
Published: (2025)

Do VLMs Need Vision Transformers? Evaluating State Space Models as Vision Encoders
by: Kuo, Shang-Jui Ray, et al.
Published: (2026)

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation
by: Hamidieh, Kimia, et al.
Published: (2024)

Generalization and Memorization in Rectified Flow
by: Rao, Mingxing, et al.
Published: (2026)

Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
by: Taraday, Mitchell Keren, et al.
Published: (2025)

Memorization in 3D Shape Generation: An Empirical Study
by: Pu, Shu, et al.
Published: (2025)

Measuring Déjà vu Memorization Efficiently
by: Kokhlikyan, Narine, et al.
Published: (2025)

Generative Modeling of Weights: Generalization or Memorization?
by: Zeng, Boya, et al.
Published: (2025)

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
by: Zheng, Mengxin, et al.
Published: (2023)

On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)

Seeking the Unfamiliar but Memorable: Conceptual Creativity as Meta-Learning
by: Ren, Mengye
Published: (2026)

SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets
by: Kaczmarek, Emily, et al.
Published: (2025)

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference
by: Miranda, Imanol, et al.
Published: (2026)

Embedding Space Selection for Detecting Memorization and Fingerprinting in Generative Models
by: He, Jack, et al.
Published: (2024)

BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning
by: Xu, Xiao, et al.
Published: (2022)

Beyond Memorization: Selective Learning for Copyright-Safe Diffusion Model Training
by: Kothandaraman, Divya, et al.
Published: (2025)

From Memorization to Creativity: LLM as a Designer of Novel Neural Architectures
by: Khalid, Waleed, et al.
Published: (2026)

TABLET: Table Structure Recognition using Encoder-only Transformers
by: Hou, Qiyu, et al.
Published: (2025)

ADAGE: Active Defenses Against GNN Extraction
by: Xu, Jing, et al.
Published: (2025)

Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder
by: Li, Siting, et al.
Published: (2024)