5 papers
Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
Yuefang Lian, Longkun Guo, Zhongrui Zhao +5
Trustworthy AI requires reliable data-processing pipelines, not only robust downstream predictive models. As an upstream component, data summarization determines which information…
Approximation Algorithm for Constrained -Center Clustering: A Local Search Approach
Chaoqi Jia, Longkun Guo, Kewen Liao +3
Clustering is a long-standing research problem and a fundamental tool in AI and data analysis. The traditional k-center problem, a fundamental theoretical challenge in clustering,…
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
Chaoqi Jia, Weihong Wu, Longkun Guo +3
Clustering is a fundamental tool that has garnered significant interest across a wide range of applications including text analysis. To improve clustering accuracy, many researcher…
Reconstruction of Differentially Private Text Sanitization via Large Language Models
Shuchao Pang, Zhigang Lu, Haichen Wang +3
Differential privacy (DP) is the de facto privacy standard against privacy leakage attacks, including many recently discovered ones against large language models (LLMs). However, w…
Near-Optimal Algorithms for Constrained k-Center Clustering with Instance-level Background Knowledge
Longkun Guo, Chaoqi Jia, Kewen Liao +2
Center-based clustering has attracted significant research interest from both theory and practice. In many practical applications, input data often contain background knowledge tha…