Research Output

Selected Publications

Research on privacy, security, and trustworthy AI — from differential privacy theory to LLM safety systems.

Full list: Google Scholar  ·  DBLP  ·  ResearchMap

2026
Disrupting Hierarchical Reasoning: Adversarial Protection for Geographic Privacy in Multimodal Reasoning Models
Jiaming Zhang, Che Wang, Yang Cao, Longtao Huang, Wei Yang Bryan Lim
ICLR 2026
arXiv
LHGstore: An In-Memory Learned Graph Storage for Fast Updates and Analytics
Pengpeng Qiao, Zhiwei Zhang, Xinzhou Wang, Zhetao Li, Xiaochun Cao, Yang Cao
DAC 2026
arXiv
Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
Bo Yan, Yurong Hao, Dingqi Liu, Huabin Sun, Pengpeng Qiao, Wei Yang Bryan Lim, Yang Cao, Chuan Shi
TheWebConf 2026
arXiv
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data
Tianle Song, Chenhao Lin, Yang Cao, Zhengyu Zhao, Jiahao Sun, Chong Zhang, Le Yang, Chao Shen
AAAI 2026 Oral
arXiv
Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV
Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama
AAAI 2026 Oral
arXiv
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
AAAI 2026
arXiv Project
Differentially Private Subspace Fine-Tuning for Large Language Models
Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng, Yulong Shen
AAAI 2026
arXiv
Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks
Meiyu Lin, Haichuan Zhang, Jiale Lao, Renyuan Li, Yuanchun Zhou, Carl Yang, Yang Cao, Mingjie Tang
ACM SIGMOD 2026
arXiv Code
Doppio: Communication-Efficient and Secure Multi-Party Shuffle Differential Privacy
Wentao Dong, Yang Cao, Cong Wang, Wei-Bin Lee
VLDB 2026
PDF
2025
AegisGuard: RL-Guided Adapter Tuning for TEE-Based Efficient & Secure On-Device Inference
Che Wang, Ziqi Zhang, Yinggui Wang, Tiantong Wang, Yurong Hao, Jianbo Gao, Tao Wei, Yang Cao, Zhong Chen, Wei Yang Bryan Lim
NeurIPS 2025
OpenReview
Differentially Private Visual Learning with Public Subspace Augmented by Synthetic Data
Haichao Sha, Yuncheng Wu, Ruixuan Liu, Yang Cao, Hong Chen
ACM MM 2025 Outstanding Paper
ACM DL
Continuous Publication of Weighted Graphs with Local Differential Privacy
Wen Xu, Pengpeng Qiao, Shang Liu, Zhirun Zheng, Yang Cao, Zhetao Li
VLDB 2025
ACM DL
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation
Lele Zheng, Yang Cao, Leo Yu Zhang, Wei Wang, Yulong Shen, Xiaochun Cao
IJCAI 2025
IJCAI
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu, Yang Cao, Wei Yang Bryan Lim
ICLR 2025
arXiv
Federated Graph Condensation with Information Bottleneck Principles
Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi
AAAI 2025
arXiv
PGB: Benchmarking Differentially Private Synthetic Graph Generation Algorithms
Shang Liu, Hao Du, Yang Cao, Bo Yan, Jinfei Liu, Masatoshi Yoshikawa
IEEE ICDE 2025
arXiv
Bargaining-based Data Markets
Yuran Bi, Yihang Wu, Jinfei Liu, Kui Ren, Yang Cao
IEEE ICDE 2025
2024
TabularMark: Watermarking Tabular Datasets for Machine Learning
Yihao Zheng, Haocheng Xia, Junyuan Pang, Jinfei Liu, Kui Ren, Lingyang Chu, Yang Cao, Li Xiong
ACM CCS 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps
Ruixuan Liu, Tianhao Wang, Yang Cao, Li Xiong
ACM CCS 2024
arXiv
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa
VLDB 2024
arXiv
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
Shun Takagi, Li Xiong, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
VLDB 2024
arXiv
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi, Yaoliang Yu, Yang Cao
ICML 2024
arXiv
Federated Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi
WWW 2024
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility
E Chen, Yang Cao, Yifei Ge
AAAI 2024
CARGO: Crypto-Assisted Differentially Private Triangle Counting without Trusted Servers
Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa
ICDE 2024
arXiv Code
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation
Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao
IJCAI 2024
2023
OLIVE: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
VLDB 2023
arXiv Code
Secure Shapley Value for Cross-Silo Federated Learning
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa
VLDB 2023
arXiv Code
Equitable Data Valuation Meets the Right to Be Forgotten in Model Markets
Haocheng Xia, Jinfei Liu, Jian Lou, Zhan Qin, Kui Ren, Yang Cao, Li Xiong
VLDB 2023
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation
Ruixuan Liu, Yang Cao, Yanlin Wang, Lingjuan Lyu, Yun Chen, Hong Chen
KDD 2023
arXiv
2022
HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
VLDB 2022
arXiv Code
Network Shuffling: Privacy Amplification via Random Walks
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
SIGMOD 2022
arXiv
FL-Market: Trading Private Models in Federated Learning
Shuyuan Zheng, Yang Cao, Masatoshi Yoshikawa, Huizhong Li, Qiang Yan
IEEE BigData 2022 Top-10 Best Paper
arXiv Code
2021
FLAME: Differentially Private Federated Learning in the Shuffle Model
Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa
AAAI 2021
arXiv Code
2020
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative Model
Shun Takagi, Tsubasa Takahashi, Yang Cao, Masatoshi Yoshikawa
IEEE ICDE 2020
arXiv
PGLP: Customizable and Rigorous Location Privacy through Policy Graph
Yang Cao, Yonghui Xiao, Shun Takagi, Li Xiong, Masatoshi Yoshikawa, Yilin Shen, Jinfei Liu, Hongxia Jin, Xiaofeng Xu
ESORICS 2020
arXiv Code
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility
Xiaolan Gu, Ming Li, Yueqiang Cheng, Li Xiong, Yang Cao
USENIX Security 2020
arXiv
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release
Yaowei Han, Sheng Li, Yang Cao, Qiang Ma, Masatoshi Yoshikawa
IEEE ICME 2020 Top-10 Best Paper
arXiv Code
Providing Input-Discriminative Protection for Local Differential Privacy
Xiaolan Gu, Ming Li, Li Xiong, Yang Cao
IEEE ICDE 2020
arXiv
FedSel: Federated SGD under Local Differential Privacy with Top-k Dimension Selection
Ruixuan Liu, Yang Cao, Masatoshi Yoshikawa, Hong Chen
DASFAA 2020
arXiv
2018 – 2019
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services
Yang Cao, Yonghui Xiao, Li Xiong, Liquan Bai, Masatoshi Yoshikawa
IEEE TKDE 2019
arXiv
Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
IEEE TKDE 2018 Best of ICDE 2017
Paper Code