Imagen de Portada

Riemannian-Geometric Fingerprints of Generative Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Hae Jin, Itti, Laurent
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Cryptography and Security Computer Vision and Pattern Recognition I.2.6
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

When Interpretability Becomes a Liability: Adversarial Attacks on CBM Concept Layers
por: Sridhar, Aditya
Publicado: (2026)

Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization
por: Xu, Binyan, et al.
Publicado: (2025)

TRIGS: Trojan Identification from Gradient-based Signatures
por: Hussein, Mohamed E., et al.
Publicado: (2023)

Boosting Ray Search Procedure of Hard-label Attacks with Transfer-based Priors
por: Ma, Chen, et al.
Publicado: (2025)

Signal-Based Malware Classification Using 1D CNNs
por: Wilkie, Jack, et al.
Publicado: (2025)

Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks
por: Xu, Xinjie, et al.
Publicado: (2025)

MM-Food-100K: A 100,000-Sample Multimodal Food Intelligence Dataset with Verifiable Provenance
por: Dong, Yi, et al.
Publicado: (2025)

Generalizable and Interpretable RF Fingerprinting with Shapelet-Enhanced Large Language Models
por: Zhao, Tianya, et al.
Publicado: (2026)

Fingerprinting web servers through Transformer-encoded HTTP response headers
por: Darwinkel, Patrick
Publicado: (2024)

PoTS: Proof-of-Training-Steps for Backdoor Detection in Large Language Models
por: Seddik, Issam, et al.
Publicado: (2025)

Breaking the Illusion of Security via Interpretation: Interpretable Vision Transformer Systems under Attack
por: Abdukhamidov, Eldor, et al.
Publicado: (2025)

Replication Study: Federated Text-Driven Prompt Generation for Vision-Language Models
por: Prasad, Suraj, et al.
Publicado: (2025)

BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection
por: Cheng, He, et al.
Publicado: (2024)

Toward Architecture-Agnostic Local Control of Posterior Collapse in VAEs
por: Song, Hyunsoo, et al.
Publicado: (2025)

FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
por: Zhang, Su, et al.
Publicado: (2026)

Public-Decay Homomorphic State Space Models for Private Sequence Inference
por: Brito, Luis
Publicado: (2026)

Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
por: Cullen, Andrew C., et al.
Publicado: (2023)

Protocol-agnostic and Data-free Backdoor Attacks on Pre-trained Models in RF Fingerprinting
por: Zhao, Tianya, et al.
Publicado: (2025)

Do Foundation Model Embeddings Improve Cross-Country Crop Yield Generalisation? A Leave-One-Country-Out Evaluation in Sub-Saharan Africa
por: Adjei, Yaw Osei
Publicado: (2026)

Density-aware Sample-specific Attack
por: Wang, Qiyuan, et al.
Publicado: (2026)

Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures
por: Mahi, Ishrak Hamim, et al.
Publicado: (2026)

Protection Is (Nearly) All You Need: Structural Protection Dominates Scoring in Globally Capped KV Eviction
por: Garcia, Gabriel
Publicado: (2026)

Unlearning at Scale: Implementing the Right to be Forgotten in Large Language Models
por: X, Abdullah
Publicado: (2025)

One Surrogate to Fool Them All: Universal, Transferable, and Targeted Adversarial Attacks with CLIP
por: Xu, Binyan, et al.
Publicado: (2025)

Towards Independence Criterion in Machine Unlearning of Features and Labels
por: Han, Ling, et al.
Publicado: (2024)

A Novel Self-Attention-Enabled Weighted Ensemble-Based Convolutional Neural Network Framework for Distributed Denial of Service Attack Classification
por: S, Kanthimathi, et al.
Publicado: (2024)

Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design
por: Alabdulmohsin, Ibrahim, et al.
Publicado: (2023)

Understanding Adversarial Transferability in Vision-Language Models for Autonomous Driving: A Cross-Architecture Analysis
por: Fernandez, David, et al.
Publicado: (2026)

Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
por: Khanna, Amol, et al.
Publicado: (2025)

Approximate Message Passing for Bayesian Neural Networks
por: Sommerfeld, Romeo, et al.
Publicado: (2025)

Replay-free Online Continual Learning with Self-Supervised MultiPatches
por: Cignoni, Giacomo, et al.
Publicado: (2025)

Independent Density Estimation
por: Liu, Jiahao, et al.
Publicado: (2025)

A Hierarchical Ensemble Pipeline for Anomaly Detection in ESA Satellite Telemetry
por: Allegrini, Lorenzo Riccardo, et al.
Publicado: (2026)

AIR: Analytic Imbalance Rectifier for Continual Learning
por: Fang, Di, et al.
Publicado: (2024)

Learning to Unlearn for Robust Machine Unlearning
por: Huang, Mark He, et al.
Publicado: (2024)

Benchmarking Predictive Coding Networks -- Made Simple
por: Pinchetti, Luca, et al.
Publicado: (2024)

Preventing Latent Rehearsal Decay in Online Continual SSL with SOLAR
por: Cignoni, Giacomo, et al.
Publicado: (2026)

Training AI to be Loyal
por: Oh, Sewoong, et al.
Publicado: (2025)

Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping
por: Zhao, Linzh, et al.
Publicado: (2025)

Non-Adaptive Adversarial Face Generation
por: Kim, Sunpill, et al.
Publicado: (2025)