Cover Image

Private prediction for large-scale synthetic text generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Amin, Kareem, Bie, Alex, Kong, Weiwei, Kurakin, Alexey, Ponomareva, Natalia, Syed, Umar, Terzis, Andreas, Vassilvitskii, Sergei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Computation and Language Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Harnessing large-language models to generate private synthetic text
by: Kurakin, Alexey, et al.
Published: (2023)

Clustering and Median Aggregation Improve Differentially Private Inference
by: Amin, Kareem, et al.
Published: (2025)

Practical Considerations for Differential Privacy
by: Amin, Kareem, et al.
Published: (2024)

How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
by: Ponomareva, Natalia, et al.
Published: (2025)

Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
by: Carranza, Aldo Gael, et al.
Published: (2023)

Learning from Synthetic Data: Limitations of ERM
by: Amin, Kareem, et al.
Published: (2026)

ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?
by: Liu, Peihan, et al.
Published: (2026)

Decomposing Private Image Generation via Coarse-to-Fine Wavelet Modeling
by: Bayrooti, Jasmine, et al.
Published: (2026)

Escaping Collapse: The Strength of Weak Data for Large Language Model Training
by: Amin, Kareem, et al.
Published: (2025)

Certified Robustness to Clean-Label Poisoning Using Diffusion Denoising
by: Hong, Sanghyun, et al.
Published: (2024)

Differentially Private Synthetic Data Release for Topics API Outputs
by: Dick, Travis, et al.
Published: (2025)

Differentially Private Optimization for Non-Decomposable Objective Functions
by: Kong, Weiwei, et al.
Published: (2023)

FibRace: a large-scale benchmark of client-side proving on mobile devices
by: Malatrait, Simon, et al.
Published: (2025)

The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
by: Steinke, Thomas, et al.
Published: (2024)

Private measures, random walks, and synthetic data
by: Boedihardjo, March, et al.
Published: (2022)

Private Aggregate Queries to Untrusted Databases
by: Hafiz, Syed Mahbub, et al.
Published: (2024)

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
by: Cummings, Rachel, et al.
Published: (2023)

A Comprehensive Analysis of Pegasus Spyware and Its Implications for Digital Privacy and Security
by: Kareem, Karwan
Published: (2024)

Reconsidering utility: unveiling the limitations of synthetic mobility data generation algorithms in real-life scenarios
by: Kapp, Alexandra, et al.
Published: (2024)

Encryption of Audio Signals Using the Elzaki Transformation and the Lorenz Chaotic System Lorenz Chaotic System
by: Kareem, Shadman R.
Published: (2024)

The Impact of IMSI Catcher Deployments on Cellular Network Security: Challenges and Countermeasures in 4G and 5G Networks
by: Kareem, Karwan Mustafa
Published: (2024)

Publicly Verifiable Private Information Retrieval Protocols Based on Function Secret Sharing
by: Zhu, Lin, et al.
Published: (2025)

Inferentially-Private Private Information
by: Wang, Shuaiqi, et al.
Published: (2024)

Evaluating the Robustness of a Production Malware Detection System to Transferable Adversarial Attacks
by: Nasr, Milad, et al.
Published: (2025)

CLUE-MARK: Watermarking Diffusion Models using CLWE
by: Shehata, Kareem, et al.
Published: (2024)

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models
by: Saifullah, Saifullah, et al.
Published: (2025)

Privacy-Preserving Cohort Analytics for Personalized Health Platforms: A Differentially Private Framework with Stochastic Risk Modeling
by: Chakraborty, Richik, et al.
Published: (2026)

Opted Out, Yet Tracked: Are Regulations Enough to Protect Your Privacy?
by: Liu, Zengrui, et al.
Published: (2022)

Private Data Imputation
by: Kati, Abdelkarim, et al.
Published: (2025)

Auditing Private Prediction
by: Chadha, Karan, et al.
Published: (2024)

Private Count Release: A Simple and Scalable Approach for Private Data Analytics
by: Rogers, Ryan
Published: (2024)

Verifiable Weighted Secret Sharing
by: Shehata, Kareem, et al.
Published: (2025)

$\text{C}^{2}\text{BNVAE}$: Dual-Conditional Deep Generation of Network Traffic Data for Network Intrusion Detection System Balancing
by: Zeng, Yifan
Published: (2025)

Poisoning Web-Scale Training Datasets is Practical
by: Carlini, Nicholas, et al.
Published: (2023)

ContextLeak: Auditing Leakage in Private In-Context Learning Methods
by: Choi, Jacob, et al.
Published: (2025)

Assessing Web Fingerprinting Risk
by: Bacis, Enrico, et al.
Published: (2024)

Defeating Prompt Injections by Design
by: Debenedetti, Edoardo, et al.
Published: (2025)

Quantum Private Comparison: A Review
by: Liu, Wenjie, et al.
Published: (2013)

Liquefaction: Privately Liquefying Blockchain Assets
by: Austgen, James, et al.
Published: (2024)

Privately Counting Partially Ordered Data
by: Joseph, Matthew, et al.
Published: (2024)