Scholar
Sahil Verma
Google Scholar ID: MMBSSXgAAAAJ
IIT Kanpur → University of Washington, Seattle
Citations & Impact
Citations
2,901
H-index
10
i10-index
10
Publications
18
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'OMNIGUARD: An Efficient Approach for AI Safety Moderation Across Modalities', Accepted as Oral at EMNLP 2025 Main Conference; 'How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold', Best Oral Paper Award at BUGS Workshop at NeurIPS 2023; 'Effective Backdoor Mitigation Depends on the Pre-training Objective', Accepted at TMLR and Best Oral Paper Award at BUGS Workshop at NeurIPS 2023; 'RecRec: Algorithmic Recourse for Recommender Systems', Accepted as a short paper at CIKM 2023; 'Post-Hoc Attribute-Based Explanations for Recommender Systems', Best Student Paper Award at TEA Workshop at NeurIPS 2022.
Research Experience
- Summer 2024, Research Intern, Deep Learning Group at Microsoft Research; Summer 2023, Applied Scientist Intern, Amazon; Summer 2022, Applied Scientist Intern, Amazon; Summer 2020-2021, Research Scientist Intern, Arthur AI; Summer 2019, Research Intern, ETH Zurich; Summer 2018, Research Intern, MIT; Summer 2017, Research Intern, National University of Singapore.
Education
- PhD: 2019 - Present, Department of Computer Science and Engineering, University of Washington, Seattle, Advisors: Jeff Bilmes and Chirag Shah; B.Tech: 2015 - 2019, Electrical Engineering, IIT Kanpur, Minor in Computer Science.
Background
- Research Interests: ML Robustness and AI Safety. Professional Field: Computer Science.
Miscellany
- Contact: Email, Twitter.
