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Machine learning research — adversarial robustness, AI security, and alignment.
Contact Information
| Name | Himanshu Singh |
| Professional Title | PhD Candidate in Machine Learning, IIIT Delhi |
| [email protected] | |
| Website | https://www.himanshu.phd/ |
Professional Summary
PhD candidate working on the robustness, security, and alignment of modern machine learning systems — adversarial training, projection-based feature regularization, diffusion-based purification, and alignment of foundation models under adversarial prompting.
Experience
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2020 - Present Delhi, India
Research Scholar
Indraprastha Institute of Information Technology Delhi
- Defending deep learning models against adversarial attacks on image classification using purification techniques with diffusion models.
- Developed the Language Guided Adversarial Purification method for adversarial robustness (patent filed).
- Investigating adversarial robustness by combining foundation models from computer vision and natural language for image classification.
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2026 Bangalore, India
Applied Sciences Intern
Microsoft
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2025 Singapore
Visiting Scholar
National University of Singapore
- Worked on robustness and alignment of foundation models, focusing on jailbreak simulation and adversarial prompt defense mechanisms.
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2020 - 2024 Delhi, India
Teaching Assistant
Indraprastha Institute of Information Technology Delhi
- Advances in Deep Learning (M’23) — Dean’s List, Best TA Award
- Statistical Machine Learning (W’22, W’23, W’24, W’25)
- Digital Image Processing (M’21, M’22); Computer Vision (W’21); Natural Language Processing (M’20)
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2021 - 2022 Remote
Consultant
Medway Technologies Pvt. Ltd.
- Developed an OCR pipeline to extract text from images of printed and handwritten medical prescriptions.
- Matched extracted text against a database to identify prescribed medicines and patient information.
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2017 - 2020 Bangalore, India
Research Scientist (Machine Learning and Computer Vision)
Animaker Inc.
- Contributed to building the patented text-to-video platform Steve AI.
- Developed and deployed a machine learning pipeline for background subtraction in images and videos.
- Designed algorithms to identify and rank relevant sections of long videos using activity detection, facial recognition, attention, and saliency analysis.
- Built a recommendation system for layout optimization, enabling intelligent placement of characters and text in visual content.
- Developed colour recommendation models for scene components using user-preferred hue templates and quantitative scoring of colour combinations.
Education
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2020 - Present Delhi, India
PhD
Indraprastha Institute of Information Technology Delhi
Computer Science
- Research Area: AI Safety
- Advisor: Dr. A. V. Subramanyam
- CGPA: 8.24
- Coursework: Advanced Machine Learning, Deep Learning, Machine Learning, Probability and Random Processes, Convex Optimization, Reproducing Kernel Hilbert Spaces and Applications, Meta Learning, Digital Image Processing
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2013 - 2017 Delhi, India
BTech
Guru Gobind Singh Indraprastha University
Computer Science and Engineering
Patents
- A. V. Subramanyam, H. Singh. A method and a system for defending a deep learning model. Indian Patent No. 592301 — granted 15 June 2026.
- V. C. Bhagath, H. Singh. System and Method for Language Learning. Indian Patent No. 567815 — granted 24 June 2025.
Academic Service
- Reviewer, IEEE MLSP 2025
- Reviewer, IEEE ICASSP 2025
- Volunteer, IEEE ICASSP 2024
Awards
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Dean's List — Best TA Award, Advances in Deep Learning
IIIT Delhi
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Best Performance — research award for outstanding performance
Animaker Inc.
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2015 1st position, "Syntaxomania" coding event
IEEE group, Amitech 2015
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Certificate of Merit for securing 10 CGPA
CBSE
Skills
Languages: Python, C++, SQL
Libraries and Frameworks: PyTorch, Hugging Face, OpenCV, NumPy, Pandas, scikit-learn, MATLAB
Databases: MongoDB, MySQL
Certificates
- Deep Learning Specialization - DeepLearning.AI (Coursera)
- Machine Learning - Stanford University (Coursera)
- Machine Learning Foundations: A Case Study Approach - University of Washington (Coursera)
- Machine Learning: Regression - University of Washington (Coursera)
- The Data Scientist's Toolbox - Johns Hopkins University (Coursera)
Languages
English : Professional working proficiency
Hindi : Native