ILFO: Adversarial Attack on Adaptive Neural Networks. - Mirazul Haque; Anki Chauhan; Cong Liu 005; Wei Yang 013 (CVPR, 2020)

TestAug: A Framework for Augmenting Capability-based NLP Tests. - Guanqun Yang; Mirazul Haque; Qiaochu Song; Wei Yang 013; Xueqing Liu 001 (COLING, 2022)

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. - Simin Chen; Zihe Song; Mirazul Haque; Cong Liu 005; Wei Yang 013 (CVPR, 2022)

CorrGAN: Input Transformation Technique Against Natural Corruptions. - Mirazul Haque; Christof J. Budnik; Wei Yang 013 (CVPR Workshops, 2022)

EREBA: Black-box Energy Testing of Adaptive Neural Networks. - Mirazul Haque; Yaswanth Yadlapalli; Wei Yang 013; Cong Liu 005 (ICSE, 2022)

DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks. - Simin Chen; Mirazul Haque; Cong Liu 005; Wei Yang 013 (ASE, 2022)

NMTSloth: understanding and testing efficiency degradation of neural machine translation systems. - Simin Chen; Cong Liu 005; Mirazul Haque; Zihe Song; Wei Yang 013 (ESEC/SIGSOFT FSE, 2022)

The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection. - Simin Chen; Hanlin Chen; Mirazul Haque; Cong Liu 005; Wei Yang 013 (CVPR, 2023)

Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks. - Mirazul Haque; Wei Yang 013 (ICCV (Workshops), 2023)

AntiNODE: Evaluating Efficiency Robustness of Neural ODEs. - Mirazul Haque; Simin Chen; Wasif Arman Haque; Cong Liu 005; Wei Yang 013 (ICCV (Workshops), 2023)

SlothSpeech: Denial-of-service Attack Against Speech Recognition Models. - Mirazul Haque; Rutvij Shah; Simin Chen; Berrak Sisman; Cong Liu 005; Wei Yang 013 (INTERSPEECH, 2023)

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 013; Kanad Basu (DAC, 2024)

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies. - Jiangrui Zheng; Xueqing Liu 001; Mirazul Haque; Xing Qian; Guanqun Yang; Wei Yang 013 (NAACL-HLT (Findings), 2024)

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs. - Mirazul Haque; Petr Babkin; Farima Farmahinifarahani; Manuela Veloso (CoRR, 2025)

Efficiency Robustness of Dynamic Deep Learning Systems. - Ravishka Rathnasuriya; Tingxi Li; Zexin Xu; Zihe Song; Mirazul Haque; Simin Chen; Wei Yang 013 (CoRR, 2025)