| 2026 | AAAI | Optimal Look-back Horizon for Time Series Forecasting in Federated Learning. | Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan |
| 2026 | WWW | K&L: Penetrating Backdoor Defense with Key and Locks. | Xinyi Wang, Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Dong Yuan, Huaming Chen |
| 2025 | CIKM | Rethinking Lipschitzness Data-free Backdoor Defense. | Xinyi Wang, Zhiyu Zhu, Zhibo Jin, Huaming Chen, Teng Joon Lim |
| 2025 | ICLR | Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability. | Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Nan Yang, Jiahao Huang, Jianlong Zhou, Fang Chen |
| 2025 | ICML | Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution. | Jiayu Zhang, Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jianlong Zhou, Fang Chen, Huaming Chen |
| 2025 | UAI | Improving Adversarial Transferability via Decision Boundary Adaptation. | Jiayu Zhang, Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Huaming Chen, Kim-Kwang Raymond Choo |
| 2024 | AAAI | MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo |
| 2024 | CIKM | Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack. | Xinyi Wang, Zhibo Jin, Zhiyu Zhu, Jiayu Zhang, Huaming Chen |
| 2024 | ICLR | Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation. | Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen |
| 2024 | ICLR | AttEXplore: Attribution for Explanation with model parameters eXploration. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim |
| 2024 | ICML | Iterative Search Attribution for Deep Neural Networks. | Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen |
| 2024 | PRICAI | Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks. | Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Yiyun Huang, Huaming Chen |
| 2024 | SDM | GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model. | Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan |
| 2023 | ADMA | DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution. | Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen |
| 2023 | AsiaCCS | POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. | Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen |
| 2023 | CIKM | FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. | Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |
| 2023 | CIKM | Improving Adversarial Transferability via Frequency-based Stationary Point Search. | Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo |