Imagen de Portada

LAPRAS : Learning-Augmented PRivate Answering for linear query Streams

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mundra, Pranay, Sealfon, Adam, Sun, Ziteng, Liu, Quanquan C.
Formato:	Preprint
Publicado:	2026
Materias:	Cryptography and Security Databases
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Practical and Accurate Local Edge Differentially Private Graph Algorithms
por: Mundra, Pranay, et al.
Publicado: (2025)

Differentially Private Stream Processing at Scale
por: Zhang, Bing, et al.
Publicado: (2023)

From Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy
por: Ye, Qingqing, et al.
Publicado: (2025)

Fast Private Adaptive Query Answering for Large Data Domains
por: Fuentes, Miguel, et al.
Publicado: (2026)

Privately Answering Queries on Skewed Data via Per Record Differential Privacy
por: Seeman, Jeremy, et al.
Publicado: (2023)

Dual Utilization of Perturbation for Stream Data Publication under Local Differential Privacy
por: Du, Rong, et al.
Publicado: (2025)

Hades: Homomorphic Augmented Decryption for Efficient Symbol-comparison -- A Database's Perspective
por: Zhao, Dongfang
Publicado: (2024)

FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation
por: Zhao, Dongfang
Publicado: (2024)

Lock Prediction for Zero-Downtime Database Encryption
por: Rakha, Mohamed Sami, et al.
Publicado: (2025)

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy
por: Sun, Haochen, et al.
Publicado: (2025)

VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup
por: Sun, Haochen, et al.
Publicado: (2025)

Personalized w-Event Privacy for Infinite Stream Estimation
por: Du, Leilei, et al.
Publicado: (2026)

Algorithmic Complexity Attacks on Dynamic Learned Indexes
por: Yang, Rui, et al.
Publicado: (2024)

PACE: Poisoning Attacks on Learned Cardinality Estimation
por: Zhang, Jintao, et al.
Publicado: (2024)

A General Framework for Per-record Differential Privacy
por: Chen, Xinghe, et al.
Publicado: (2025)

SAT-BO: Verification Rule Learning and Optimization for FraudTransaction Detection
por: Luo, Mao, et al.
Publicado: (2025)

Towards Privacy-Preserving Range Queries with Secure Learned Spatial Index over Encrypted Data
por: Wang, Zuan, et al.
Publicado: (2025)

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
por: Liu, Yixuan, et al.
Publicado: (2024)

Needle-in-RAG: Prompt-Conditioned Character-Level Traceback of Poisoned Spans in Retrieved Evidence
por: Cui, Huining, et al.
Publicado: (2026)

NodeOP: Optimizing Node Management for Decentralized Networks
por: Tsang, Angela, et al.
Publicado: (2024)

Sketches-based join size estimation under local differential privacy
por: Zhang, Meifan, et al.
Publicado: (2024)

A proposal to increase data utility on Global Differential Privacy data based on data use predictions
por: Nunes, Henry C., et al.
Publicado: (2024)

ThreatKG: An AI-Powered System for Automated Open-Source Cyber Threat Intelligence Gathering and Management
por: Gao, Peng, et al.
Publicado: (2022)

Verifiable, Efficient and Confidentiality-Preserving Graph Search with Transparency
por: Wang, Qiuhao, et al.
Publicado: (2025)

Femur: A Flexible Framework for Fast and Secure Querying from Public Key-Value Store
por: Zhang, Jiaoyi, et al.
Publicado: (2025)

A Comprehensive Survey of Blockchain Scalability: Shaping Inner-Chain and Inter-Chain Perspectives
por: Chen, Baochao, et al.
Publicado: (2024)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
por: Hu, Qi, et al.
Publicado: (2024)

Defense against Poisoning Attacks under Shuffle-DP
por: Wang, Siyi, et al.
Publicado: (2026)

VulGD: A LLM-Powered Dynamic Open-Access Vulnerability Graph Database
por: Do, Luat, et al.
Publicado: (2026)

NSHEDB: Noise-Sensitive Homomorphic Encrypted Database Query Engine
por: Jung, Boram, et al.
Publicado: (2026)

PROTECT-DB: Protecting Data using Replicated State Machines: Efficient Corruption Detection & Recovery
por: Utgikar, Anant, et al.
Publicado: (2026)

Interpreting the Error of Differentially Private Median Queries through Randomization Intervals
por: Humphries, Thomas, et al.
Publicado: (2026)

Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects
por: Li, Hanxi, et al.
Publicado: (2026)

Acyclic Graph Pattern Counting under Local Differential Privacy
por: Hu, Yihua, et al.
Publicado: (2026)

Oblivis: A Framework for Delegated and Efficient Oblivious Transfer
por: Abadi, Aydin, et al.
Publicado: (2026)

Descriptor: Multi-Regional Cloud Honeypot Dataset (MURHCAD)
por: Feito-Casares, Enrique, et al.
Publicado: (2026)

Confidential Databases Without Cryptographic Mappings
por: Huang, Wenxuan, et al.
Publicado: (2026)

RADAR: Exposing Unlogged NoSQL Operations
por: Nissan, Mahfuzul I., et al.
Publicado: (2026)

Polars inside Intel SGX2 Enclaves: An Empirical Study of Confidential Analytical Query Processing
por: Wang, Wei, et al.
Publicado: (2026)

TableMark: A Multi-bit Watermark for Synthetic Tabular Data
por: Xia, Yuyang, et al.
Publicado: (2026)