Mirazul Haque

According to our database, Mirazul Haque authored at least 19 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Deep FinResearch Bench: Evaluating AI's Ability to Conduct Professional Financial Investment Research.

Mirazul Haque, Antony Papadimitriou, Samuel Mensah, Zhiqiang Ma, Zhijin Guo, Joy Prakash Sain, Simerjot Kaur, Charese Smiley, Xiaomo Liu

CoRR, April, 2026

Detecting Non-Membership in LLM Training Data via Rank Correlations.

Pranav Shetty, Mirazul Haque, Zhiqiang Ma, Xiaomo Liu

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Perturb Your Data: Paraphrase-Guided Training Data Watermarking.

Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Efficiency Robustness of Dynamic Deep Learning Systems.

Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

CoRR, June, 2025

Towards Effectively Leveraging Execution Traces for Program Repair with Code LLMs.

Mirazul Haque, Petr Babkin, Farima Farmahinifarahani, Manuela Veloso

CoRR, May, 2025

SoK: Efficiency Robustness of Dynamic Deep Learning Systems.

Ravishka Rathnasuriya, Tingxi Li, Zexin Xu, Zihe Song, Mirazul Haque, Simin Chen, Wei Yang

Proceedings of the 34th USENIX Security Symposium, 2025

2024

HateModerate: Testing Hate Speech Detectors against Content Moderation Policies.

Jiangrui Zheng, Xueqing Liu, Mirazul Haque, Xing Qian, Guanqun Yang, Wei Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

SlothSpeech: Denial-of-service Attack Against Speech Recognition Models.

Mirazul Haque, Rutvij Shah, Simin Chen, Berrak Sisman, Cong Liu, Wei Yang

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

AntiNODE: Evaluating Efficiency Robustness of Neural ODEs.

Mirazul Haque, Simin Chen, Wasif Arman Haque, Cong Liu, Wei Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks.

Mirazul Haque, Wei Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection.

Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

NMTSloth: understanding and testing efficiency degradation of neural machine translation systems.

Simin Chen, Cong Liu, Mirazul Haque, Zihe Song, Wei Yang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks.

Simin Chen, Mirazul Haque, Cong Liu, Wei Yang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

EREBA: Black-box Energy Testing of Adaptive Neural Networks.

Mirazul Haque, Yaswanth Yadlapalli, Wei Yang, Cong Liu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

CorrGAN: Input Transformation Technique Against Natural Corruptions.

Mirazul Haque, Christof J. Budnik, Wei Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models.

Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TestAug: A Framework for Augmenting Capability-based NLP Tests.

Guanqun Yang, Mirazul Haque, Qiaochu Song, Wei Yang, Xueqing Liu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

ILFO: Adversarial Attack on Adaptive Neural Networks.

Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020