Margarita Osadchy

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 26

Top Topics

Security Issues

Small Number Of Training Samples

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Inf. Forensics Secur.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR (2024)
Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
A Unified Approach to Coreset Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Xin Niu, Enyi Li, Jinchao Liu, Yan Wang, Margarita Osadchy, Yongchun Fang
Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet. IEEE Trans. Image Process. 33 (2024)
Yingying Wu, Jinchao Liu, Yan Wang, Stuart J. Gibson, Margarita Osadchy, Yongchun Fang
Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Murad Tukan, Alaa Maalouf, Margarita Osadchy
Dataset Distillation Meets Provable Subset Selection. CoRR (2023)
Daniel Keren, Margarita Osadchy, Amit Shahar
A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert. Sensors 23 (12) (2023)
Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
Data-Independent Structured Pruning of Neural Networks via Coresets. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
A Unified Approach to Coreset Learning. CoRR (2021)
Danny Keller, Margarita Osadchy, Orr Dunkelman
Inverting Binarizations of Facial Templates Produced by Deep Learning (and Its Implications). IEEE Trans. Inf. Forensics Secur. 16 (2021)
Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson
LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. Neurocomputing 406 (2020)
Danny Keller, Margarita Osadchy, Orr Dunkelman
Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning. CoRR (2020)
Ben Mussay, Margarita Osadchy, Vladimir Braverman, Samson Zhou, Dan Feldman
Data-Independent Neural Pruning via Coresets. ICLR (2020)
Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
Data-Independent Structured Pruning of Neural Networks via Coresets. CoRR (2020)
Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson
LSHR-Net: a hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. CoRR (2020)
Margarita Osadchy, Orr Dunkelman
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. 16 (5) (2019)
Ran Bernstein, Margarita Osadchy, Daniel Keren, Assaf Schuster
LDA classifier monitoring in distributed streaming systems. J. Parallel Distributed Comput. 123 (2019)
Dolev Raviv, Tamir Hazan, Margarita Osadchy
Hinge-Minimax Learner for the Ensemble of Hyperplanes. J. Mach. Learn. Res. 19 (2018)
Jinchao Liu, Stuart J. Gibson, Margarita Osadchy
Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning. CoRR (2018)
Jinchao Liu, Stuart J. Gibson, James Mills, Margarita Osadchy
Dynamic Spectrum Matching with One-shot Learning. CoRR (2018)
Margarita Osadchy, Yan Wang, Orr Dunkelman, Stuart J. Gibson, Julio C. Hernandez-Castro, Christopher J. Solomon
GenFace: Improving Cyber Security Using Realistic Synthetic Face Generation. CSCML (2017)
Jinchao Liu, Margarita Osadchy, Lorna Ashton, Michael Foster, Christopher J. Solomon, Stuart J. Gibson
Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution. CoRR (2017)
Dolev Raviv, Margarita Osadchy
Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples. CoRR (2017)
Margarita Osadchy, Julio C. Hernandez-Castro, Stuart J. Gibson, Orr Dunkelman, Daniel Pérez-Cabo
No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation. IEEE Trans. Inf. Forensics Secur. 12 (11) (2017)
Mor Ohana, Orr Dunkelman, Stuart J. Gibson, Margarita Osadchy
HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images. CoRR (2016)
Margarita Osadchy, Daniel Keren, Dolev Raviv
Recognition Using Hybrid Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Margarita Osadchy, Julio C. Hernandez-Castro, Stuart J. Gibson, Orr Dunkelman, Daniel Pérez-Cabo
No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples with Applications to CAPTCHA. IACR Cryptol. ePrint Arch. 2016 (2016)
Margarita Osadchy, Tamir Hazan, Daniel Keren
K-hyperplane Hinge-Minimax Classifier. ICML (2015)
Aaron Netz, Margarita Osadchy
Recognition Using Specular Highlights. IEEE Trans. Pattern Anal. Mach. Intell. 35 (3) (2013)
Orr Dunkelman, Margarita Osadchy, Mahmood Sharif
Secure authentication from facial attributeswith no privacy loss. CCS (2013)
Margarita Osadchy, Daniel Keren, Bella Fadida-Specktor
Hybrid Classifiers for Object Classification with a Rich Background. ECCV (5) (2012)
Aaron Netz, Margarita Osadchy
Using specular highlights as pose invariant features for 2D-3D pose estimation. CVPR (2011)
Margarita Osadchy, Benny Pinkas, Ayman Jarrous, Boaz Moskovich
SCiFI - A System for Secure Face Identification. IEEE Symposium on Security and Privacy (2010)
Boaz Moskovich, Margarita Osadchy
Illumination invariant representation for privacy preserving face identification. CVPR Workshops (2010)
Margarita Osadchy, Elran Morash
Loose shape model for discriminative learning of object categories. CVPR (2008)
Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi, David Tucker
Using specularities in comparing 3D models and 2D images. Comput. Vis. Image Underst. 111 (3) (2008)
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
Surface Dependent Representations for Illumination Insensitive Image Comparison. IEEE Trans. Pattern Anal. Mach. Intell. 29 (1) (2007)
Margarita Osadchy, Yann LeCun, Matthew L. Miller
Synergistic Face Detection and Pose Estimation with Energy-Based Models. J. Mach. Learn. Res. 8 (2007)
Margarita Osadchy, Daniel Keren
Incorporating the Boltzmann Prior in Object Detection Using SVM. CVPR (2) (2006)
Margarita Osadchy, Yann LeCun, Matthew L. Miller
Synergistic Face Detection and Pose Estimation with Energy-Based Models. Toward Category-Level Object Recognition (2006)
Margarita Osadchy, David W. Jacobs, Michael Lindenbaum
On the Equivalence of Common Approaches to Lighting Insensitive Recognition. ICCV (2005)
Margarita Osadchy, Daniel Keren
A rejection-based method for event detection in video. IEEE Trans. Circuits Syst. Video Technol. 14 (4) (2004)
Margarita Osadchy, Matthew L. Miller, Yann LeCun
Synergistic Face Detection and Pose Estimation with Energy-Based Models. NIPS (2004)
Margarita Osadchy, Daniel Keren
Efficient detection under varying illumination conditions and image plane rotations. Comput. Vis. Image Underst. 93 (3) (2004)
Margarita Osadchy, Michael Lindenbaum, David W. Jacobs
Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. ECCV (4) (2004)
Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi
Using Specularities for Recognition. ICCV (2003)
Daniel Keren, Margarita Osadchy, Craig Gotsman
Antifaces: A Novel, Fast Method for Image Detection. IEEE Trans. Pattern Anal. Mach. Intell. 23 (7) (2001)
Margarita Osadchy, Daniel Keren
Image Detection Under Varying Illumination and Pose. ICCV (2001)
Margarita Osadchy, Daniel Keren, Yaniv Gal
Anti-Sequences: Event Detection by Frame Stacking. CVPR (2) (2001)
Daniel Keren, Margarita Osadchy, Craig Gotsman
Anti-Faces for Detection. ECCV (1) (2000)
Daniel Keren, Margarita Osadchy
Restoring subsampled color images. Mach. Vis. Appl. 11 (4) (1999)