MO
Margarita Osadchy
cs.LGstat.MLcs.AIcs.CRcs.CVDeep Learninghep-phAlgorithmsArtificial Intelligenceeess.IV
On Valency
published · living versionsW_uu7mqfmv·v1 · currentpublished
How Much Feedback Is Needed to Break Template Protection? The Geometric Vulnerability of Biometric Authentication
with Eliron Rahimi, Orr Dunkelman
1 version
Preprints & journals
29 papers in the corpus · 2007–2026How Much Feedback Is Needed to Break Template Protection? The Geometric Vulnerability of Biometric Authentication2610.25118v1 · Eliron Rahimi, Margarita Osadchy, Orr Dunkelman2026 · 0 citationsarXivon Valency
Reconstructing Protected Biometric Templates from Binary Authentication Results2601.17620v1 · Eliron Rahimi, Margarita Osadchy, Orr Dunkelman2026 · 1 citationarXiv
Resolving Molecular Perturbations Near Undercoordinated Metals.40402168 · Poppe, Alex, Lohia, Ishaan, Osadchy, Margarita et al.2025 · 1 citationACS nano. 2025;19(21):20120-20127
A practical, fast method for solving sum-of-squares problems for very large polynomials2410.19844v1 · Daniel Keren, Margarita Osadchy, Roi Poranne2024 · 0 citationsarXiv
Vibrational Spectroscopy Can Be Vulnerable to Adversarial Attacks.39392227 · Liu, Jinchao, Osadchy, Margarita, Wang, Yan et al.2024 · 2 citationsAnalytical chemistry. 2024;96(42):16570-16580
Is Tokenization Needed for Masked Particle Modelling?2409.12589v2 · Matthew Leigh, Samuel Klein, Francois Charton et al.2024 · 5 citationsarXiv
A Unified Approach to Coreset Learning.36343002 · Maalouf, Alaa, Eini, Gilad, Mussay, Ben et al.2024 · 10 citationsIEEE transactions on neural networks and learning systems. 2024;35(5):6893-6905
Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers.38150338 · Wu, Yingying, Liu, Jinchao, Wang, Yan et al.2024 · 11 citationsIEEE transactions on pattern analysis and machine intelligence. 2024;46(5):3845-3861
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models2401.13537v3 · Tobias Golling, Lukas Heinrich, Michael Kagan et al.2024 · 27 citationsMachine Learning: Science and Technology 5, 035074 (2024)
Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet.38190674 · Niu, Xin, Li, Enyi, Liu, Jinchao et al.2024 · 9 citationsIEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2024;33:655-670
Correction to "Mapping Atomic-Scale Metal-Molecule Interactions: Salient Feature Extraction through Autoencoding of Vibrational Spectroscopy Data".37883179 · Poppe, Alex, Griffiths, Jack, Hu, Shu et al.2023 · 0 citationsThe journal of physical chemistry letters. 2023;14(43):9793
Mapping Atomic-Scale Metal-Molecule Interactions: Salient Feature Extraction through Autoencoding of Vibrational Spectroscopy Data.37594383 · Poppe, Alex, Griffiths, Jack, Hu, Shu et al.2026 · 7 citationsThe journal of physical chemistry letters. 2023;14(34):7603-7610
Dataset Distillation Meets Provable Subset Selection2307.08086v1 · Murad Tukan, Alaa Maalouf, Margarita Osadchy2023 · 1 citationarXiv
A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert.37420751 · Keren, Daniel, Osadchy, Margarita, Shahar, Amit2023 · 4 citationsSensors (Basel, Switzerland). 2023;23(12)
Using deep learning to predict human decisions and using cognitive models to explain deep learning models.35304572 · Fintz, Matan, Osadchy, Margarita, Hertz, Uri2022 · 62 citationsScientific reports. 2022;12(1):4736
How Deep Learning Tools Can Help Protein Engineers Find Good Sequences.34105961 · Osadchy, Margarita, Kolodny, Rachel2021 · 13 citationsThe journal of physical chemistry. B. 2021;125(24):6440-6450
Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning2012.13293v1 · Danny Keller, Margarita Osadchy, Orr Dunkelman2020 · 8 citationsarXiv
Data-Independent Structured Pruning of Neural Networks via Coresets2008.08316v1 · Ben Mussay, Daniel Feldman, Samson Zhou et al.2020 · 14 citationsarXiv
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network2004.13173v1 · Fangliang Bai, Jinchao Liu, Xiaojuan Liu et al.2020 · 2 citationsarXiv
Data-Independent Neural Pruning via Coresets1907.04018v3 · Ben Mussay, Margarita Osadchy, Vladimir Braverman et al.2019 · 17 citationsarXiv
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning1808.07270v1 · Jinchao Liu, Stuart J. Gibson, Margarita Osadchy2018 · 5 citationsarXiv
Dynamic Spectrum Matching with One-shot Learning1806.09981v1 · Jinchao Liu, Stuart J. Gibson, James Mills et al.2018 · 50 citationsarXiv
Deep convolutional neural networks for Raman spectrum recognition: a unified solution.28993828 · Liu, Jinchao, Osadchy, Margarita, Ashton, Lorna et al.2018 · 506 citationsThe Analyst. 2017;142(21):4067-4074
Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples1702.01293v1 · Dolev Raviv, Margarita Osadchy2017 · 0 citationsarXiv
HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images1611.03811v1 · Mor Ohana, Orr Dunkelman, Stuart Gibson et al.2016 · 4 citationsarXiv
Recognition Using Hybrid Classifiers.26959677 · Osadchy, Margarita, Keren, Daniel, Raviv, Dolev2016 · 12 citationsIEEE transactions on pattern analysis and machine intelligence. 2016;38(4):759-71
Recognition Using Specular Highlights.22665722 · Netz, Aaron, Osadchy, Margarita2015 · 15 citationsIEEE transactions on pattern analysis and machine intelligence. 2013;35(3):639-52
Maps of protein structure space reveal a fundamental relationship between protein structure and function.21737750 · Osadchy, Margarita, Kolodny, Rachel2011 · 70 citationsProceedings of the National Academy of Sciences of the United States of America. 2011;108(30):12301-6
Surface dependent representations for illumination insensitive image comparison.17108386 · Osadchy, Margarita, Jacobs, David W, Lindenbaum, Michael2007 · 26 citationsIEEE transactions on pattern analysis and machine intelligence. 2007;29(1):98-111
Career total: 65 works. 29 are in this corpus.
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