| 2026 | AAAI | Perturb Your Data: Paraphrase-Guided Training Data Watermarking. | Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso |
| 2026 | EACL | Detecting Non-Membership in LLM Training Data via Rank Correlations. | Pranav Shetty, Mirazul Haque, Zhiqiang Ma, Xiaomo Liu |
| 2024 | DAC | MENDNet: Just-in-time Fault Detection and Mitigation in AI Systems with Uncertainty Quantification and Multi-Exit Networks. | Shamik Kundu, Mirazul Haque, Sanjay Das, Wei Yang, Kanad Basu |
| 2024 | NAACL | HateModerate: Testing Hate Speech Detectors against Content Moderation Policies. | Jiangrui Zheng, Xueqing Liu, Mirazul Haque, Xing Qian, Guanqun Yang, Wei Yang |
| 2023 | CVPR | The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection. | Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang |
| 2023 | Interspeech | SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. | Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang |
| 2022 | COLING | TestAug: A Framework for Augmenting Capability-based NLP Tests. | Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu |
| 2022 | CVPR | NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. | Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang |
| 2022 | CVPR | CorrGAN: Input Transformation Technique Against Natural Corruptions. | Mirazul Haque, Christof J. Budnik, Wei Yang |
| 2022 | ICSE | EREBA: Black-box Energy Testing of Adaptive Neural Networks. | Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu |
| 2020 | CVPR | ILFO: Adversarial Attack on Adaptive Neural Networks. | Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang |