Hashmat Shadab Malik
About Me
I am a PhD Candidate at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) in the Intelligent Visual Analytics Lab (IVAL). I am primarily advised by Dr. Salman Khan and Dr. Muzammal Naseer, with Dr. Fahad Khan as my secondary advisor.
I hold a Master’s degree in Computer Vision from MBZUAI and an undergraduate degree in Electronics and Communication Engineering from the National Institute of Technology (NIT) Srinagar. Previously, I was a researcher at the Indian Institute of Science (IISc).
Education
MBZUAI
(2021-Present)
NIT Srinagar
(2014-2018)
Research Interests
My research focuses on the Safety and Reliability of AI, with a particular emphasis on understanding, evaluating, and enhancing the robustness of vision-based models.
News
- [Jul. 2026] Our new work ReACT-CLIP proposes a training-free test-time defense for CLIP that adapts its defensive strength based on the given sample, achieving high robust accuracy across attack strengths and beating the strongest prior test-time defense by up to 46.5%.
- [July 2026] Our work CORTEX was accepted to the SAFER Workshop at MICCAI 2026, where it was selected for an oral presentation! 🎉
- [June 2026] Our work HistoVL was accepted to MIUA 2026, where it was selected for an oral presentation! 🎉
- [December 2025] Our work FaceGuardian was accepted to SaTML 2026, where it was selected for both an oral and poster presentation! 🎉
- [August 2025] Our work Robust-LLaVA was accepted to the Trustworthy Foundation Models Workshop at ICCV 2025, where it was selected for an oral presentation! 🎉
- [Jun. 2025] Our work HSAT has been accepted at MICCAI 2025! 🎉
- [Mar. 2025] Our work titled “Towards Evaluating the Robustness of Visual State Space Models” got accepted at CVPRW 2025! 🎉
- [Mar. 2025] Our work HSAT, enhances robustness of histopathology vision models by leveraging patient-slide-patch relationships to construct heirarchy-wise attacks and integrate the generated adversarial examples in the model training. HSAT achieves a 54.31% improvement against white-box attacks and reduces performance drop to 3-4% against black-box attacks.
- [Feb. 2025] Our work Robust-LLaVA, enhances the adversarial robustness of Multi-modal Large Language Models (MLLMs) by leveraging large-scale robust classification models. It achieves 2× and 1.5× average robustness gains in captioning and VQA tasks, and improves resistance to jailbreaking attacks by over 10% compared to state-of-the-art methods.
- [Dec. 2024] Our work titled “ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes” secured Best Student Paper Runner Up Award at ACCV 2024! 🎉.
- [Sep. 2024] Our work titled “ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes” got accepted at ACCV 2024 for Oral Presentation (Top 5%)! 🎉.
- [Jun. 2024] Our paper titled “Evaluating Robustness of Volumetric Medical Segmentation Models” got accepted at BMVC 2024! 🎉
- [Jan. 2023] I joined MBZUAI as a PhD student in Computer Vision with full scholarship.
- [Sep. 2022] Our work titled “Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations” got accepted at BMVC 2022 for Oral Presentation (Top 9%)! 🎉.
- [Jan. 2021] I joined MBZUAI as a Masters student in Computer Vision with full scholarship.
Publications
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Under Review
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Under Review
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Under Review
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Under Review
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MICCAIW 2026
SAFER Workshop: Stable Adaptation and Faithful Evaluation of Reasoning in Medical Foundation Models (MICCAI) 2026PDF (Oral Presentation + Poster) -
MIUA 2026
30th Conference on Medical Image Understanding and Analysis (MIUA) 2026 -
SaTML 2026
FaceGuardian: Protecting Facial Biometrics from Malicious Generative Editing via Latent Optimization4th IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) 2026(Oral Presentation + Poster) -
ICCVW 2025
Trustworthy FMs Workshop, ICCVW 2025 -
MICCAI 2025
28th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2025 -
CVPRW 2025
The 5th Workshop of Adversarial Machine Learning on Computer Vision, CVPR 2025 -
ACCV 2024
35th Asian Conference on Computer Vision (ACCV) 2024 -
BMVC 2024
The 35th British Machine Vision Conference (BMVC) 2024 -
BMVC 2022
The 33rd British Machine Vision Conference (BMVC) 2022
Academic Services
Conference Reviewing
Served as a Reviewer at CVPR’25, BMVC'2025, ECCV’24, BMVC’24, WACV’24
Teaching Assistant
- Advanced Computer Vision (CV801) course - Fall 2024 with Prof. Hisham Cholakkal
- Human and Computer Vision (CV701) course - Fall 2023 with Prof. Mohammad Yaqub
Awards and Merits
Full scholarship for PhD in Computer Vision at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). Secured Best Student Paper Runner Up Award at ACCV 2024. Full scholarship for Masters in Computer Vision at the Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). Secured 140th state rank in IIT-JEE Mains 2014 (among top 2% of 1.5 million students across the country).
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