Restoring subsampled color images. - Daniel Keren; Margarita Osadchy (Mach. Vis. Appl., 1999)

Anti-Faces for Detection. - Daniel Keren; Margarita Osadchy; Craig Gotsman (ECCV (1), 2000)

Anti-Sequences: Event Detection by Frame Stacking. - Margarita Osadchy; Daniel Keren; Yaniv Gal (CVPR (2), 2001)

Image Detection Under Varying Illumination and Pose. - Margarita Osadchy; Daniel Keren (ICCV, 2001)

Antifaces: A Novel, Fast Method for Image Detection. - Daniel Keren; Margarita Osadchy; Craig Gotsman (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Using Specularities for Recognition. - Margarita Osadchy; David W. Jacobs; Ravi Ramamoorthi (ICCV, 2003)

Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination. - Margarita Osadchy; Michael Lindenbaum; David W. Jacobs (ECCV (4), 2004)

Efficient detection under varying illumination conditions and image plane rotations. - Margarita Osadchy; Daniel Keren (Comput. Vis. Image Underst., 2004)

A rejection-based method for event detection in video. - Margarita Osadchy; Daniel Keren (IEEE Trans. Circuits Syst. Video Technol., 2004)

On the Equivalence of Common Approaches to Lighting Insensitive Recognition. - Margarita Osadchy; David W. Jacobs; Michael Lindenbaum (ICCV, 2005)

Incorporating the Boltzmann Prior in Object Detection Using SVM. - Margarita Osadchy; Daniel Keren (CVPR (2), 2006)

Synergistic Face Detection and Pose Estimation with Energy-Based Models. - Margarita Osadchy; Yann LeCun; Matthew L. Miller (J. Mach. Learn. Res., 2007)

Surface Dependent Representations for Illumination Insensitive Image Comparison. - Margarita Osadchy; David W. Jacobs; Michael Lindenbaum (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Loose shape model for discriminative learning of object categories. - Margarita Osadchy; Elran Morash (CVPR, 2008)

Using specularities in comparing 3D models and 2D images. - Margarita Osadchy; David W. Jacobs; Ravi Ramamoorthi; David Tucker (Comput. Vis. Image Underst., 2008)

Illumination invariant representation for privacy preserving face identification. - Boaz Moskovich; Margarita Osadchy (CVPR Workshops, 2010)

SCiFI - A System for Secure Face Identification. - Margarita Osadchy; Benny Pinkas; Ayman Jarrous; Boaz Moskovich (IEEE Symposium on Security and Privacy, 2010)

Using specular highlights as pose invariant features for 2D-3D pose estimation. - Aaron Netz; Margarita Osadchy (CVPR, 2011)

Hybrid Classifiers for Object Classification with a Rich Background. - Margarita Osadchy; Daniel Keren; Bella Fadida-Specktor (ECCV (5), 2012)

Secure authentication from facial attributeswith no privacy loss. - Orr Dunkelman; Margarita Osadchy; Mahmood Sharif (CCS, 2013)

Recognition Using Specular Highlights. - Aaron Netz; Margarita Osadchy (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

K-hyperplane Hinge-Minimax Classifier. - Margarita Osadchy; Tamir Hazan; Daniel Keren (ICML, 2015)

HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images. - Mor Ohana; Orr Dunkelman; Stuart J. Gibson; Margarita Osadchy (CoRR, 2016)

No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples with Applications to CAPTCHA. - Margarita Osadchy; Julio C. Hernandez-Castro; Stuart J. Gibson; Orr Dunkelman; Daniel Pérez-Cabo (IACR Cryptol. ePrint Arch., 2016)

Recognition Using Hybrid Classifiers. - Margarita Osadchy; Daniel Keren; Dolev Raviv (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

GenFace: Improving Cyber Security Using Realistic Synthetic Face Generation. - Margarita Osadchy; Yan Wang 084; Orr Dunkelman; Stuart J. Gibson; Julio C. Hernandez-Castro; Christopher J. Solomon (CSCML, 2017)

Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples. - Dolev Raviv; Margarita Osadchy (CoRR, 2017)

Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution. - Jinchao Liu; Margarita Osadchy; Lorna Ashton; Michael Foster 002; Christopher J. Solomon; Stuart J. Gibson (CoRR, 2017)

No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation. - Margarita Osadchy; Julio C. Hernandez-Castro; Stuart J. Gibson; Orr Dunkelman; Daniel Pérez-Cabo (IEEE Trans. Inf. Forensics Secur., 2017)

Dynamic Spectrum Matching with One-shot Learning. - Jinchao Liu; Stuart J. Gibson; James Mills; Margarita Osadchy (CoRR, 2018)

Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning. - Jinchao Liu; Stuart J. Gibson; Margarita Osadchy (CoRR, 2018)

Hinge-Minimax Learner for the Ensemble of Hyperplanes. - Dolev Raviv; Tamir Hazan; Margarita Osadchy (J. Mach. Learn. Res., 2018)

LDA classifier monitoring in distributed streaming systems. - Ran Bernstein; Margarita Osadchy; Daniel Keren; Assaf Schuster (J. Parallel Distributed Comput., 2019)

It is All in the System's Parameters: Privacy and Security Issues in Transforming Biometric Raw Data into Binary Strings. - Margarita Osadchy; Orr Dunkelman (IEEE Trans. Dependable Secur. Comput., 2019)

Data-Independent Neural Pruning via Coresets. - Ben Mussay; Margarita Osadchy; Vladimir Braverman; Samson Zhou; Dan Feldman (ICLR, 2020)

Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning. - Danny Keller; Margarita Osadchy; Orr Dunkelman (CoRR, 2020)

LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network. - Fangliang Bai; Jinchao Liu; Xiaojuan Liu; Margarita Osadchy; Chao Wang 074; Stuart J. Gibson (Neurocomputing, 2020)

Inverting Binarizations of Facial Templates Produced by Deep Learning (and Its Implications). - Danny Keller; Margarita Osadchy; Orr Dunkelman (IEEE Trans. Inf. Forensics Secur., 2021)

Data-Independent Structured Pruning of Neural Networks via Coresets. - Ben Mussay; Dan Feldman; Samson Zhou; Vladimir Braverman; Margarita Osadchy (IEEE Trans. Neural Networks Learn. Syst., 2022)

Dataset Distillation Meets Provable Subset Selection. - Murad Tukan; Alaa Maalouf; Margarita Osadchy (CoRR, 2023)

A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert. - Daniel Keren; Margarita Osadchy; Amit Shahar (Sensors, 2023)

Is Tokenization Needed for Masked Particle Modelling? - Matthew Leigh; Samuel Klein; François Charton; Tobias Golling; Lukas Heinrich; Michael Kagan; Inês Ochoa; Margarita Osadchy (CoRR, 2024)

A practical, fast method for solving sum-of-squares problems for very large polynomials. - Daniel Keren; Margarita Osadchy; Roi Poranne (CoRR, 2024)

Masked particle modeling on sets: towards self-supervised high energy physics foundation models. - Tobias Golling; Lukas Heinrich; Michael Kagan; Samuel Klein; Matthew Leigh; Margarita Osadchy; John Andrew Raine (Mach. Learn. Sci. Technol., 2024)

Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet. - Xin Niu; Enyi Li; Jinchao Liu; Yan Wang 084; Margarita Osadchy; Yongchun Fang (IEEE Trans. Image Process., 2024)

Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers. - Yingying Wu; Jinchao Liu; Yan Wang 084; Stuart J. Gibson; Margarita Osadchy; Yongchun Fang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

A Unified Approach to Coreset Learning. - Alaa Maalouf; Gilad Eini; Ben Mussay; Dan Feldman; Margarita Osadchy (IEEE Trans. Neural Networks Learn. Syst., 2024)