Margarita Osadchy

56 papers A* 9B 1Journal 37Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Reconstructing Protected Biometric Templates from Binary Authentication Results.
CoRR
Eliron Rahimi, Margarita Osadchy, Orr Dunkelman
2025 J jnl
Is tokenization needed for masked particle modeling?
Mach. Learn. Sci. Technol.
Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2025 B conf
Reconstructing Protected Biometric Templates from Binary Authentication Results.
IJCB
Eliron Rahimi, Margarita Osadchy, Orr Dunkelman
2024 J jnl
A Unified Approach to Coreset Learning.
IEEE Trans. Neural Networks Learn. Syst.
Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
2024 J jnl
A practical, fast method for solving sum-of-squares problems for very large polynomials.
CoRR
Daniel Keren, Margarita Osadchy, Roi Poranne
2024 J jnl
Is Tokenization Needed for Masked Particle Modelling?
CoRR
Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2024 J jnl
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models.
CoRR
Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024 J jnl
Masked particle modeling on sets: towards self-supervised high energy physics foundation models.
Mach. Learn. Sci. Technol.
Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024 J jnl
Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet.
IEEE Trans. Image Process.
Xin Niu, Enyi Li, Jinchao Liu, Yan Wang, Margarita Osadchy, Yongchun Fang
2024 J jnl
Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers.
IEEE Trans. Pattern Anal. Mach. Intell.
Yingying Wu, Jinchao Liu, Yan Wang, Stuart J. Gibson, Margarita Osadchy, Yongchun Fang
2023 J jnl
A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert.
Sensors
Daniel Keren, Margarita Osadchy, Amit Shahar
2023 J jnl
Dataset Distillation Meets Provable Subset Selection.
CoRR
Murad Tukan, Alaa Maalouf, Margarita Osadchy
2022 J jnl
Data-Independent Structured Pruning of Neural Networks via Coresets.
IEEE Trans. Neural Networks Learn. Syst.
Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
2021 J jnl
A Unified Approach to Coreset Learning.
CoRR
Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
2021 J jnl
Inverting Binarizations of Facial Templates Produced by Deep Learning (and Its Implications).
IEEE Trans. Inf. Forensics Secur.
Danny Keller, Margarita Osadchy, Orr Dunkelman
2020 A* conf
Data-Independent Neural Pruning via Coresets.
ICLR
Ben Mussay, Margarita Osadchy, Vladimir Braverman, Samson Zhou, Dan Feldman
2020 J jnl
Data-Independent Structured Pruning of Neural Networks via Coresets.
CoRR
Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
2020 J jnl
Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning.
CoRR
Danny Keller, Margarita Osadchy, Orr Dunkelman
2020 J jnl
LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network.
Neurocomputing
Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson
2020 J jnl
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network.
CoRR
Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson
2019 J jnl
It is All in the System's Parameters: Privacy and Security Issues in Transforming Biometric Raw Data into Binary Strings.
IEEE Trans. Dependable Secur. Comput.
Margarita Osadchy, Orr Dunkelman
2019 J jnl
LDA classifier monitoring in distributed streaming systems.
J. Parallel Distributed Comput.
Ran Bernstein, Margarita Osadchy, Daniel Keren, Assaf Schuster
2018 J jnl
Dynamic Spectrum Matching with One-shot Learning.
CoRR
Jinchao Liu, Stuart J. Gibson, James Mills, Margarita Osadchy
2018 J jnl
Hinge-Minimax Learner for the Ensemble of Hyperplanes.
J. Mach. Learn. Res.
Dolev Raviv, Tamir Hazan, Margarita Osadchy
2018 J jnl
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning.
CoRR
Jinchao Liu, Stuart J. Gibson, Margarita Osadchy
2017 J jnl
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution.
CoRR
Jinchao Liu, Margarita Osadchy, Lorna Ashton, Michael Foster, Christopher J. Solomon, Stuart J. Gibson
2017 — conf
GenFace: Improving Cyber Security Using Realistic Synthetic Face Generation.
CSCML
Margarita Osadchy, Yan Wang, Orr Dunkelman, Stuart J. Gibson, Julio C. Hernandez-Castro, Christopher J. Solomon
2017 J jnl
Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples.
CoRR
Dolev Raviv, Margarita Osadchy
2017 J jnl
No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation.
IEEE Trans. Inf. Forensics Secur.
Margarita Osadchy, Julio C. Hernandez-Castro, Stuart J. Gibson, Orr Dunkelman, Daniel Pérez-Cabo
2016 J jnl
HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images.
CoRR
Mor Ohana, Orr Dunkelman, Stuart J. Gibson, Margarita Osadchy
2016 J jnl
No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples with Applications to CAPTCHA.
IACR Cryptol. ePrint Arch.
Margarita Osadchy, Julio C. Hernandez-Castro, Stuart J. Gibson, Orr Dunkelman, Daniel Pérez-Cabo
2016 J jnl
Recognition Using Hybrid Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell.
Margarita Osadchy, Daniel Keren, Dolev Raviv
2015 A* conf
K-hyperplane Hinge-Minimax Classifier.
ICML
Margarita Osadchy, Tamir Hazan, Daniel Keren
2013 J jnl
Recognition Using Specular Highlights.
IEEE Trans. Pattern Anal. Mach. Intell.
Aaron Netz, Margarita Osadchy
2013 A* conf
Secure authentication from facial attributeswith no privacy loss.
CCS
Orr Dunkelman, Margarita Osadchy, Mahmood Sharif
2012 — conf
Hybrid Classifiers for Object Classification with a Rich Background.
ECCV (5)
Margarita Osadchy, Daniel Keren, Bella Fadida-Specktor
2011 A* conf
Using specular highlights as pose invariant features for 2D-3D pose estimation.
CVPR
Aaron Netz, Margarita Osadchy
2010 — conf
Illumination invariant representation for privacy preserving face identification.
CVPR Workshops
Boaz Moskovich, Margarita Osadchy
2010 A* conf
SCiFI - A System for Secure Face Identification.
IEEE Symposium on Security and Privacy
Margarita Osadchy, Benny Pinkas, Ayman Jarrous, Boaz Moskovich
2008 A* conf
Loose shape model for discriminative learning of object categories.
CVPR
Margarita Osadchy, Elran Morash
2008 J jnl
Using specularities in comparing 3D models and 2D images.
Comput. Vis. Image Underst.
Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi, David Tucker
2007 J jnl
Surface Dependent Representations for Illumination Insensitive Image Comparison.
IEEE Trans. Pattern Anal. Mach. Intell.
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
2007 J jnl
Synergistic Face Detection and Pose Estimation with Energy-Based Models.
J. Mach. Learn. Res.
Margarita Osadchy, Yann LeCun, Matthew L. Miller
2006 — conf
Incorporating the Boltzmann Prior in Object Detection Using SVM.
CVPR (2)
Margarita Osadchy, Daniel Keren
2006 — conf
Synergistic Face Detection and Pose Estimation with Energy-Based Models.
Toward Category-Level Object Recognition
Margarita Osadchy, Yann LeCun, Matthew L. Miller
2005 A* conf
On the Equivalence of Common Approaches to Lighting Insensitive Recognition.
ICCV
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
2004 J jnl
A rejection-based method for event detection in video.
IEEE Trans. Circuits Syst. Video Technol.
Margarita Osadchy, Daniel Keren
2004 J jnl
Efficient detection under varying illumination conditions and image plane rotations.
Comput. Vis. Image Underst.
Margarita Osadchy, Daniel Keren
2004 — conf
Synergistic Face Detection and Pose Estimation with Energy-Based Models.
NIPS
Margarita Osadchy, Matthew L. Miller, Yann LeCun
2004 — conf
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination.
ECCV (4)
Margarita Osadchy, Michael Lindenbaum, David W. Jacobs
2003 A* conf
Using Specularities for Recognition.
ICCV
Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi
2001 — conf
Anti-Sequences: Event Detection by Frame Stacking.
CVPR (2)
Margarita Osadchy, Daniel Keren, Yaniv Gal
2001 J jnl
Antifaces: A Novel, Fast Method for Image Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Daniel Keren, Margarita Osadchy, Craig Gotsman
2001 A* conf
Image Detection Under Varying Illumination and Pose.
ICCV
Margarita Osadchy, Daniel Keren
2000 — conf
Anti-Faces for Detection.
ECCV (1)
Daniel Keren, Margarita Osadchy, Craig Gotsman
1999 J jnl
Restoring subsampled color images.
Mach. Vis. Appl.
Daniel Keren, Margarita Osadchy