I’m Haz 👋

I’m a first-year CS PhD student at the University of California Riverside, advised by the incredible Professor Yue Dong.

My primary area of interest is multimodal neural networks, with a focus on how they respond to adversarial attacks and out-of-distribution data.

News

• [10/2024] Our paper on conditional RNA generation RNA-DCGen was accepted in NeurIPS 2024 Workshop on Machine Learning in Structural Biology (MLSB)!
• [10/2024] Our paper on a new state-of-the-art RNA Language Model BiRNA-BERT was accepted in two NeurIPS 2024 Workshops: ENLSP (oral/spotlight paper!) and FM4Science.
• [08/2024] Attending ACL 2024 as a tutorial presenter for Vulnerabilities of Large Language Models to Adversarial Attacks.
• [07/2024] Our paper IllusionVQA was accepted in the Conference On Language Modeling (COLM) 2024.
• [06/2024] Our analysis paper Too Late to Train, Too Early To Use? - A Study on Bengali LLMs is out now arxiv.
• [04/2024] Our paper Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks was accepted in Findings of ACL 2024.
• [10/2023] Our team won IEEE VIPCUP at ICIP 2023 Malaysia. The task was Ophthalmic Biomarker Detection from Retinal Scans.