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Vasisht Duddu
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Citado por
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Año
Stealing Neural Networks via Timing Side Channels
V Duddu, D Samanta, DV Rao, VE Balas
Technical Report, 2018
1372018
Quantifying Privacy Leakage in Graph Embedding
V Duddu, A Boutet, V Shejwalkar
International Conference on Mobile and Ubiquitous Systems (MobiQuitous), 2020
992020
Inferring Sensitive Attributes from Model Explanations
V Duddu, A Boutet
ACM Conference on Information and Knowledge Management (CIKM), 2022
142022
Good Artists Copy, Great Artists Steal: Model Extraction Attacks Against Image Translation Models
S Szyller, V Duddu, T Gröndahl, N Asokan
Technical Report, 2021
13*2021
On the Alignment of Group Fairness with Attribute Privacy
J Aalmoes, V Duddu, A Boutet
arXiv preprint arXiv:2211.10209, 2022
11*2022
Fault Tolerance of Neural Networks in Adversarial Settings
V Duddu, N Rajesh Pillai, DV Rao, VE Balas
Journal of Intelligent & Fuzzy Systems (JIFS), 2020
112020
Towards Enhancing Fault Tolerance in Neural Networks
V Duddu, DV Rao, VE Balas
International Conference on Mobile and Ubiquitous Systems (MobiQuitous), 2020
11*2020
Towards Effective Measurement of Membership Privacy Risk for Machine Learning Models
V Duddu
Master's Thesis @ University of Waterloo, 2022
8*2022
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings
A Waheed, V Duddu, N Asokan
IEEE Symposium on Security and Privacy (S&P), 2024
22024
Comprehension from Chaos: What Users Understand and Expect from Private Computation
B Kacsmar, V Duddu, K Tilbury, B Ur, F Kerschbaum
ACM Conference on Computer and Communications Security (CCS), 2023
2*2023
Attesting distributional properties of training data for machine learning
V Duddu, A Das, N Khayata, H Yalame, T Schneider, N Asokan
European Symposium on Research in Computer Security (ESORICS), 2024
12024
SoK: Unintended Interactions among Machine Learning Defenses and Risks
V Duddu, S Szyller, N Asokan
IEEE Symposium on Security and Privacy (S&P), 2024
2024
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Artículos 1–12