papers

Publications (7)

cs.CR2026

GPM: The Gaussian Pancake Mechanism for Planting Undetectable Backdoors in Differential Privacy

Haochen Sun, Xi He

Differential privacy (DP) has become the gold standard for preserving individual privacy in data analysis. However, an implicit yet fundamental assumption underlying these rigorous…

cs.LG2024

zkLLM: Zero Knowledge Proofs for Large Language Models

Haochen Sun, Jason Li, Hongyang Zhang

The recent surge in artificial intelligence (AI), characterized by the prominence of large language models (LLMs), has ushered in fundamental transformations across the globe. Howe…

cs.LG2025

An Explainable AI Framework for Dynamic Resource Management in Vehicular Network Slicing

Haochen Sun, Yifan Liu, Ahmed Al-Tahmeesschi +4

Effective resource management and network slicing are essential to meet the diverse service demands of vehicular networks, including Enhanced Mobile Broadband (eMBB) and Ultra-Reli…

cs.CR2025

VDDP: Verifiable Distributed Differential Privacy under the Client-Server-Verifier Setup

Haochen Sun, Xi He

Although differential privacy (DP) is widely regarded as the de facto standard for data privacy, its implementation remains vulnerable to unfaithful execution by servers, particula…

cs.CL2025

Collab-Overcooked: Benchmarking and Evaluating Large Language Models as Collaborative Agents

Haochen Sun, Shuwen Zhang, Lujie Niu +6

Large Language Models (LLMs) based agent systems have made great strides in real-world applications beyond traditional NLP tasks. This paper proposes a new LLM-based Multi-Agent Sy…

eess.IV2024

Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution

Haochen Sun, Yan Yuan, Lijuan Su +1

Previous approaches for blind image super-resolution (SR) have relied on degradation estimation to restore high-resolution (HR) images from their low-resolution (LR) counterparts.…

cs.LG2023

zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

Haochen Sun, Tonghe Bai, Jason Li +1

The recent advancements in deep learning have brought about significant changes in various aspects of people's lives. Meanwhile, these rapid developments have raised concerns about…