InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models.

A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning.

A Game-theoretic Framework for Privacy-preserving Federated Learning.

Improved algorithm for permutation testing.

Corrigendum to "Improved Algorithm for Permutation Testing" [Theoretical Computer Science 986 (2024) 114316].

RSL-SQL: Robust Schema Linking in Text-to-SQL Generation.

MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration.

Theoretical Analysis of Privacy Leakage in Trustworthy Federated Learning: A Perspective from Linear Algebra and Optimization Theory.

A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning.

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models.

No Free Lunch Theorem for Privacy-Preserving LLM Inference.

Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering.

Deciphering the Interplay between Local Differential Privacy, Average Bayesian Privacy, and Maximum Bayesian Privacy.

Reinforcement Learning as a Catalyst for Robust and Fair Federated Learning: Deciphering the Dynamics of Client Contributions.

CauESC: A Causal Aware Model for Emotional Support Conversation.

Trading Off Privacy, Utility, and Efficiency in Federated Learning.

No Free Lunch Theorem for Security and Utility in Federated Learning.

K-ESConv: Knowledge Injection for Emotional Support Dialogue Systems via Prompt Learning.

Privacy in Large Language Models: Attacks, Defenses and Future Directions.

Theoretically Principled Federated Learning for Balancing Privacy and Utility.

Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion.

A Game-theoretic Framework for Federated Learning.

Probably Approximately Correct Federated Learning.

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning.

Contextual Combinatorial Conservative Bandits.

Near-Optimal Algorithm for Distribution-Free Junta Testing.

Automatic Ensemble Learning for Online Influence Maximization.