Xiaoting Li

According to our database, Xiaoting Li authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adversary for Social Good: Leveraging Adversarial Attacks to Protect Personal Attribute Privacy.

Xiaoting Li, Lingwei Chen, Dinghao Wu

ACM Trans. Knowl. Discov. Data, February, 2024

2023

Adversarial Collaborative Filtering for Free.

Huiyuan Chen, Xiaoting Li, Vivian Lai, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Mahashweta Das, Hao Yang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation.

Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Towards Generating Adversarial Examples on Mixed-type Data.

Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang

CoRR, 2022

Distilling Knowledge on Text Graph for Social Media Attribute Inference.

Quan Li, Xiaoting Li, Lingwei Chen, Dinghao Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Adversary for Social Good: Leveraging Attribute-Obfuscating Attack to Protect User Privacy on Social Networks.

Xiaoting Li, Lingwei Chen, Dinghao Wu

Proceedings of the Security and Privacy in Communication Networks, 2022

Adversarially Reprogramming Pretrained Neural Networks for Data-limited and Cost-efficient Malware Detection.

Lingwei Chen, Xiaoting Li, Dinghao Wu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems.

Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Denoising Self-Attentive Sequential Recommendation.

Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

FuzzBoost: Reinforcement Compiler Fuzzing.

Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu

Proceedings of the Information and Communications Security - 24th International Conference, 2022

SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction.

Xiaoting Li, Yuhang Wu, Vineeth Rakesh, Yusan Lin, Hao Yang, Fei Wang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing.

Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, Dinghao Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks.

Xiaoting Li, Lingwei Chen, Dinghao Wu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks.

Xiaoting Li, Lingwei Chen, Jinquan Zhang, James R. Larus, Dinghao Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

Abacus: Precise Side-Channel Analysis.

Qinkun Bao, Zihao Wang, Xiaoting Li, James R. Larus, Dinghao Wu

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020

Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections.

Lingwei Chen, Xiaoting Li, Dinghao Wu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

DeepFuzz: Automatic Generation of Syntax Valid C Programs for Fuzz Testing.

Xiao Liu, Xiaoting Li, Rupesh Prajapati, Dinghao Wu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019