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Xiaoting Li
Xiaoting Li
Visa Research
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Title
Cited by
Cited by
Year
Deepfuzz: Automatic generation of syntax valid c programs for fuzz testing
X Liu, X Li, R Prajapati, D Wu
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1044-1051, 2019
942019
Denoising self-attentive sequential recommendation
H Chen, Y Lin, M Pan, L Wang, CCM Yeh, X Li, Y Zheng, F Wang, H Yang
Proceedings of the 16th ACM Conference on Recommender Systems, 92-101, 2022
342022
Abacus: Precise side-channel analysis
Q Bao, Z Wang, X Li, JR Larus, D Wu
2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021
242021
Turning attacks into protection: Social media privacy protection using adversarial attacks
X Li, L Chen, D Wu
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
182021
Tinykg: Memory-efficient training framework for knowledge graph neural recommender systems
H Chen, X Li, K Zhou, X Hu, CCM Yeh, Y Zheng, H Yang
Proceedings of the 16th ACM Conference on Recommender Systems, 257-267, 2022
112022
Enhancing robustness of graph convolutional networks via dropping graph connections
L Chen, X Li, D Wu
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021
112021
Distilling Knowledge on Text Graph for Social Media Attribute Inference
Q Li, X Li, L Chen, D Wu
The 45th International ACM SIGIR Conference on Research and Development in …, 2022
92022
Adversarially reprogramming pretrained neural networks for data-limited and cost-efficient malware detection
L Chen, X Li, D Wu
Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022
62022
Watermarking-based defense against adversarial attacks on deep neural networks
X Li, L Chen, J Zhang, J Larus, D Wu
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
62021
SmartQuery: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
X Li, Y Wu, V Rakesh, Y Lin, H Yang, F Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
42022
ALPHAPROG: reinforcement generation of valid programs for compiler fuzzing
X Li, X Liu, L Chen, R Prajapati, D Wu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12559 …, 2022
42022
FuzzBoost: Reinforcement Compiler Fuzzing
X Li, X Liu, L Chen, R Prajapati, D Wu
International Conference on Information and Communications Security, 359-375, 2022
32022
Adversary for social good: Leveraging adversarial attacks to protect personal attribute privacy
X Li, L Chen, D Wu
ACM Transactions on Knowledge Discovery from Data 18 (2), 1-24, 2023
22023
Adversary for social good: Leveraging attribute-obfuscating attack to protect user privacy on social networks
X Li, L Chen, D Wu
International Conference on Security and Privacy in Communication Systems …, 2022
22022
Reinforcement compiler fuzzing
X Liu, R Prajapati, X Li, D Wu
22019
Adversarial Collaborative Filtering for Free
H Chen, X Li, V Lai, CCM Yeh, Y Fan, Y Zheng, M Das, H Yang
Proceedings of the 17th ACM Conference on Recommender Systems, 245-255, 2023
12023
Probabilistic masked attention networks for explainable sequential recommendation
H Chen, K Zhou, Z Jiang, CCM Yeh, X Li, M Pan, Y Zheng, X Hu, H Yang
Proceedings of the Thirty-Second International Joint Conference on …, 2023
2023
Towards Generating Adversarial Examples on Mixed-type Data
H Xu, M Pan, Z Jiang, H Chen, X Li, M Das, H Yang
arXiv preprint arXiv:2210.09405, 2022
2022
The Good, the Bad and the Ugly: Exploring the Robustness and Applicability of Adversarial Machine Learning
X Li
Penn State University, 2022
2022
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Articles 1–19