Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. - Xiaoqing Zheng; Jiehang Zeng; Yi Zhou 018; Cho-Jui Hsieh; Minhao Cheng; Xuanjing Huang 001 (ACL, 2020)

Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework. - Jiehang Zeng; Lu Liu; Xiaoqing Zheng (CoRR, 2020)

Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning. - Linyang Li; Demin Song; Xiaonan Li; Jiehang Zeng; Ruotian Ma; Xipeng Qiu (EMNLP (1), 2021)

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. - Zongyi Li; Jianhan Xu; Jiehang Zeng; Linyang Li; Xiaoqing Zheng; Qi Zhang 001; Kai-Wei Chang; Cho-Jui Hsieh (EMNLP (1), 2021)

SparseGAN: Sparse Generative Adversarial Network for Text Generation. - Liping Yuan; Jiehang Zeng; Xiaoqing Zheng (CoRR, 2021)

Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. - Jiehang Zeng; Xiaoqing Zheng; Jianhan Xu; Linyang Li; Liping Yuan; Xuanjing Huang 001 (CoRR, 2021)

Rebuild and Ensemble: Exploring Defense Against Text Adversaries. - Linyang Li; Demin Song; Jiehang Zeng; Ruotian Ma; Xipeng Qiu (CoRR, 2022)

Learning structured embeddings of knowledge graphs with generative adversarial framework. - Lu Liu; Jiehang Zeng; Xiaoqing Zheng (Expert Syst. Appl., 2022)

Certified Robustness to Text Adversarial Attacks by Randomized [MASK]. - Jiehang Zeng; Jianhan Xu; Xiaoqing Zheng; Xuanjing Huang 001 (Comput. Linguistics, 2023)