activity
20232026
most citedA Survey on Data Markets

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions

Yukai Zhou, Feiyang Lu, Xiaokai Mao +2

Jailbreak attacks on large language models are usually evaluated by attacker-centric metrics such as attack success rate (ASR), yet an attack that breaks a model is not necessarily…

cs.LG2026

DaDaDa: A Dataset for Data Pricing in Data Marketplaces

Qiheng Sun, Hongwei Zhang, Junxu Liu +4

High-quality data drives machine learning advances across industries. Recognizing the value of data, data transactions are increasingly common, giving rise to many data marketplace…

cs.AI2026

Feature Attribution in Directed Acyclic Graphs Using Edge Intervention

Qiheng Sun, Junxu Liu, Xiaokai Mao +4

Shapley value-based feature attribution methods face challenges in scenarios involving complex feature interactions and causal relationships, even when a causal structure is provid…

cs.LG2025

CoKV: Optimizing KV Cache Allocation via Cooperative Game

Qiheng Sun, Hongwei Zhang, Haocheng Xia +3

Large language models (LLMs) have achieved remarkable success on various aspects of human life. However, one of the major challenges in deploying these models is the substantial me…

cs.GT2024★ 2 cited

A Survey on Data Markets

Jiayao Zhang, Yuran Bi, Mengye Cheng +15

Data is the new oil of the 21st century. The growing trend of trading data for greater welfare has led to the emergence of data markets. A data market is any mechanism whereby the…

cs.CR2024★ 1 cited

TabularMark: Watermarking Tabular Datasets for Machine Learning

Yihao Zheng, Haocheng Xia, Junyuan Pang +5

Watermarking is broadly utilized to protect ownership of shared data while preserving data utility. However, existing watermarking methods for tabular datasets fall short on the de…

cs.CL2023

Prompt Valuation Based on Shapley Values

Hanxi Liu, Xiaokai Mao, Haocheng Xia +3

Large language models (LLMs) excel on new tasks without additional training, simply by providing natural language prompts that demonstrate how the task should be performed. Prompt…