Cover Image

From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Kecen, Gong, Chen, Li, Xiaochen, Zhao, Yuzhong, Hou, Xinwen, Wang, Tianhao
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
by: Gong, Chen, et al.
Published: (2025)

From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum
by: Gong, Chen, et al.
Published: (2026)

PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining
by: Li, Kecen, et al.
Published: (2023)

DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis
by: Gong, Chen, et al.
Published: (2026)

PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning
by: Gong, Chen, et al.
Published: (2025)

Differentially Private Contrastive Learning via Bounding Group-level Contribution
by: Li, Kecen, et al.
Published: (2026)

Benchmarking Differentially Private Tabular Data Synthesis
by: Chen, Kai, et al.
Published: (2025)

BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets
by: Gong, Chen, et al.
Published: (2022)

Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
by: Gao, Fengyu, et al.
Published: (2024)

Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models
by: Wei, Qianshan, et al.
Published: (2025)

HeteroFedSyn: Differentially Private Tabular Data Synthesis for Heterogeneous Federated Settings
by: Li, Xiaochen, et al.
Published: (2026)

DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation
by: Wei, Chengkun, et al.
Published: (2025)

Locally Differentially Private In-Context Learning
by: Zheng, Chunyan, et al.
Published: (2024)

TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents
by: Gong, Chen, et al.
Published: (2024)

Challenges in Enabling Private Data Valuation
by: Fu, Yiwei, et al.
Published: (2026)

PrivCode: When Code Generation Meets Differential Privacy
by: Liu, Zheng, et al.
Published: (2025)

Differentially Private Model Merging
by: Yin, Qichuan, et al.
Published: (2026)

Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis
by: Chen, Kai, et al.
Published: (2025)

A Survey on Private Transformer Inference
by: Li, Yang, et al.
Published: (2024)

Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
by: Yan, Guang, et al.
Published: (2025)

Private Transformer Inference in MLaaS: A Survey
by: Li, Yang, et al.
Published: (2025)

VaultGemma: A Differentially Private Gemma Model
by: Sinha, Amer, et al.
Published: (2025)

Protecting Private Code in IDE Autocomplete using Differential Privacy
by: Grigorenko, Evgeny, et al.
Published: (2026)

Differentially Private Preference Data Synthesis for Large Language Model Alignment
by: Gao, Fengyu, et al.
Published: (2026)

GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
by: Li, Kecen, et al.
Published: (2025)

Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
by: Wen, Ming, et al.
Published: (2025)

Differentially Private Rankings via Outranking Methods and Performance Data Aggregation
by: Del Vasto-Terrientes, Luis
Published: (2025)

Differentially Private Retrieval-Augmented Generation
by: Tang, Tingting, et al.
Published: (2026)

HEQuant: Marrying Homomorphic Encryption and Quantization for Communication-Efficient Private Inference
by: Xu, Tianshi, et al.
Published: (2024)

Provable Differentially Private Computation of the Cross-Attention Mechanism
by: Ke, Yekun, et al.
Published: (2024)

Discovering Universal Semantic Triggers for Text-to-Image Synthesis
by: Zhai, Shengfang, et al.
Published: (2024)

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
by: Liu, Qin, et al.
Published: (2023)

Improved Algorithms for Differentially Private Language Model Alignment
by: Chen, Keyu, et al.
Published: (2025)

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
by: Li, Yuecheng, et al.
Published: (2024)

Privacy Attack in Federated Learning is Not Easy: An Experimental Study
by: Zhu, Hangyu, et al.
Published: (2024)

PrivCirNet: Efficient Private Inference via Block Circulant Transformation
by: Xu, Tianshi, et al.
Published: (2024)

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)

aCAPTCHA: Verifying That an Entity Is a Capable Agent via Asymmetric Hardness
by: Xu, Zuyao, et al.
Published: (2026)

Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
by: Piran, Fardin Jalil, et al.
Published: (2024)

Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm
by: Pang, Yan, et al.
Published: (2025)