Quan Zhou

CoRTX: Contrastive Framework for Real-time Explanation

2023 · arXiv (Cornell University)

Recent advancements in explainable machine learning provide effective and faithful solutions for interpreting model behaviors. However, many explanation methods encounter efficiency issues, which largely limit their deployments in practical scenarios. Real-time explainer (RTX) frameworks have …

A Multi-Party Functional Signatures Scheme for Private Blockchain

2023 · Cryptography

Digital signature technology is essential for ensuring the authenticity and unforgeability of transactions in a private blockchain framework. In some scenarios, transactions require verification from multiple parties, each of whom needs to authenticate different parts …

Research on Deep Learning Based on Decentralized Differential Privacy Protection

2024

Most existing decentralized learning algorithms focus on improving the convergence speed and communication efficiency of models, without paying too much attention to the issue of participant privacy leakage. Differential privacy is currently one of the …

A Survey on AgentOps: Categorization, Challenges, and Future Directions

2025 · arXiv (Cornell University)

As the reasoning capabilities of Large Language Models (LLMs) continue to advance, LLM-based agent systems offer advantages in flexibility and interpretability over traditional systems, garnering increasing attention. However, despite the widespread research interest and industrial …