Vasisht Duddu
Ph.D. Student, Computer Science
Secure Systems Group
University of Waterloo
vasisht.duddu at uwaterloo.ca
Home Publications Awards Talks Mentoring CV
Legend: Paper Venue Code Miscellaneous Award
Pre-Prints
- Locket: Robust Feature-Locking Technique for Language Models Paper Code
Lipeng He, Vasisht Duddu, N. Asokan
Under Submission
- PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit Patching Paper Code
Anthony Hughes, Vasisht Duddu, N. Asokan, Nikolaos Aletras, Ning Ma
Under Submission
- Amulet: A Python Library for Assessing Interactions Among ML Defenses and Risks Paper Code
Asim Waheed, Vasisht Duddu, Rui Zhang, Sebastian Szyller
Under Submission Technology Transfer to Intel
2026
2025
2024
- SoK: Unintended Interactions among Machine Learning Defenses and Risks Paper Code Blog
Vasisht Duddu, Sebastian Szyller, N. Asokan
IEEE Symposium on Security and Privacy (S&P) Distinguished Paper Award
Industry Impact: Amulet: Library for Evaluating Unintended Interactions Code Technology Transfer to Intel
- GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Paper Code
Asim Waheed, Vasisht Duddu, N. Asokan
IEEE Symposium on Security and Privacy (S&P)
- Attesting Distributional Properties of Training Data for Machine Learning Paper Code
Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, N. Asokan
European Symposium on Research in Computer Security (ESORICS)
- On the Alignment of Group Fairness with Attribute Privacy Paper
Jan Aalmoes, Vasisht Duddu, Antoine Boutet
International Web Information Systems Engineering Conference (WISE)
2023
2022
2021
- Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation GANs Paper
Sebastian Szyller, Vasisht Duddu, Tommi Gröndahl, N. Asokan
Technical Report
2020
2018
- Stealing Neural Networks via Timing Side Channels Paper
Vasisht Duddu, Debasis Samanta, D Vijay Rao, Valentina E. Balas
Technical Report
Theses
- Towards Effective Measurement of Membership Privacy Risk for Machine Learning Models Thesis
Vasisht Duddu
Master's Thesis, University of Waterloo, 2022
Technical Report SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Paper
Vasisht Duddu, Sebastian Szyller, N. Asokan