Publications
* denotes equal contribution
Pandora's White-Box: Precise Training Data Detection and Extraction in Large Language Models
Jeffrey G. Wang*, Jason Wang*, Marvin Li*, Seth Neel
arXiv Preprint (2024)
Hardness of Learning Neural Networks under the Manifold Hypothesis
Bobak T. Kiani, Jason Wang, Melanie Weber
arXiv Preprint (2024)
MoPe: Model Perturbation-based Privacy Attacks on Language Models
Marvin Li*, Jason Wang*, Jeffrey G. Wang*, Seth Neel
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
The Naughtyformer: A Transformer Understands Offensive Humor
Leonard Tang, Alexander Cai, Jason Wang
Proceedings of the Thirty-seventh AAAI Conference on Artificial Intelligence (AAAI 2023) - Student Abstract
Augmentation of Chinese Character Representations with Compositional Graph Learning
Jason Wang, Kaiqun Fu, Chang-Tien Lu
Proceedings of the Thirty-sixth AAAI Conference on Artificial Intelligence (AAAI 2022) - Student Abstract
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection
Jason Wang, Kaiqun Fu, Chang-Tien Lu
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020)