Cover Image

CCAR: Intrinsic Robustness as an Emergent Geometric Property

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Samanta, Akash, Singh, Manish Pratap, Chaudhuri, Debasis
Format:	Preprint
Published:	2026
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

Registration-Free Monitoring of Unstructured Point Cloud Data via Intrinsic Geometrical Properties
by: Patalano, Mariafrancesca, et al.
Published: (2025)

Integrative CAM: Adaptive Layer Fusion for Comprehensive Interpretation of CNNs
by: Singh, Aniket K., et al.
Published: (2024)

Activity Coefficient-based Channel Selection for Electroencephalogram: A Task-Independent Approach
by: Pandey, Kartik, et al.
Published: (2025)

Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
by: Choi, Wonhyeok, et al.
Published: (2025)

BioCLIP 2: Emergent Properties from Scaling Hierarchical Contrastive Learning
by: Gu, Jianyang, et al.
Published: (2025)

Revised Regularization for Efficient Continual Learning through Correlation-Based Parameter Update in Bayesian Neural Networks
by: Palit, Sanchar, et al.
Published: (2024)

Learning Conditional Invariances through Non-Commutativity
by: Chaudhuri, Abhra, et al.
Published: (2024)

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

Positional Encodings Anchor Spatial Structure in Vision Transformers: A Geometric Perspective on Robustness
by: Mannes, Mahmoud
Published: (2026)

An Intrinsic Vector Heat Network
by: Gao, Alexander, et al.
Published: (2024)

Data Redaction from Conditional Generative Models
by: Kong, Zhifeng, et al.
Published: (2023)

Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
by: Croce, Francesco, et al.
Published: (2025)

DALight-3D: A Lightweight 3D U-Net for Brain Tumor Segmentation from Multi-Modal MRI
by: Mishra, Nand Kumar, et al.
Published: (2026)

Learning to Rank Caption Chains for Video-Text Alignment
by: Blume, Ansel, et al.
Published: (2026)

DeepVAT: A Self-Supervised Technique for Cluster Assessment in Image Datasets
by: Mazumder, Alokendu, et al.
Published: (2023)

Approximate Nullspace Augmented Finetuning for Robust Vision Transformers
by: Liu, Haoyang, et al.
Published: (2024)

DeNetDM: Debiasing by Network Depth Modulation
by: Sreelatha, Silpa Vadakkeeveetil, et al.
Published: (2024)

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
by: Croce, Francesco, et al.
Published: (2023)

Towards Accessible Learning: Deep Learning-Based Potential Dysgraphia Detection and OCR for Potentially Dysgraphic Handwriting
by: D, Vydeki, et al.
Published: (2024)

Intrinsic Dimensionality as a Model-Free Measure of Class Imbalance
by: Eser, Çağrı, et al.
Published: (2025)

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

DeBUGCN -- Detecting Backdoors in CNNs Using Graph Convolutional Networks
by: Vartak, Akash, et al.
Published: (2025)

G-MSGINet: A Grouped Multi-Scale Graph-Involution Network for Contactless Fingerprint Recognition
by: Peddi, Santhoshkumar, et al.
Published: (2025)

Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
by: Yan, YangTian, et al.
Published: (2025)

Protego: Detecting Adversarial Examples for Vision Transformers via Intrinsic Capabilities
by: Wu, Jialin, et al.
Published: (2025)

Geometric Trajectory Diffusion Models
by: Han, Jiaqi, et al.
Published: (2024)

Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025)

Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification
by: Huang, Luffina C., et al.
Published: (2024)

ArcGate: Adaptive Arctangent Gated Activation
by: Bhattacharya, Avik, et al.
Published: (2026)

CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation
by: Singha, Mainak, et al.
Published: (2026)

A Geometric Perspective on Diffusion Models
by: Chen, Defang, et al.
Published: (2023)

Visual Diffusion Models are Geometric Solvers
by: Goren, Nir, et al.
Published: (2025)

Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
by: Chen, Zhichao, et al.
Published: (2026)

PIXLRelight: Controllable Relighting via Intrinsic Conditioning
by: Farinha, Miguel, et al.
Published: (2026)

Emergent Natural Language with Communication Games for Improving Image Captioning Capabilities without Additional Data
by: Dutta, Parag, et al.
Published: (2025)

Self-Evolving Visual Concept Library using Vision-Language Critics
by: Sehgal, Atharva, et al.
Published: (2025)

Chain-of-Trajectories: Unlocking the Intrinsic Generative Optimality of Diffusion Models via Graph-Theoretic Planning
by: Chen, Ping, et al.
Published: (2026)

Linearly Separable Features in Shallow Nonlinear Networks: Width Scales Polynomially with Intrinsic Data Dimension
by: Xu, Alec S., et al.
Published: (2025)

ISImed: A Framework for Self-Supervised Learning using Intrinsic Spatial Information in Medical Images
by: Jabareen, Nabil, et al.
Published: (2024)

Base and Exponent Prediction in Mathematical Expressions using Multi-Output CNN
by: Salam, Md Laraib, et al.
Published: (2024)