About
Dean of the Faculty of Computer and Information Science
Publications
- Is tokenization needed for masked particle modeling?, Leigh, M., Klein, S., Charton, F., Golling, T., Heinrich, L., Kagan, M., Ochoa, I. & Osadchy, M., 30 Jun 2025, In: Machine Learning: Science and Technology. 6, 2, 025075.
- Resolving Molecular Perturbations Near Undercoordinated Metals, Poppe, A., Lohia, I., Osadchy, M., Gibson, S. & de Nijs, B., 3 Jun 2025, In: ACS Nano. 19, 21, p. 20120-20127 8 p.
- Reconstructing Protected Biometric Templates from Binary Authentication Results, Rahimi, E., Osadchy, M. & Dunkelman, O., 2025, 2025 IEEE International Joint Conference on Biometrics, IJCB 2025. Institute of Electrical and Electronics Engineers Inc., (2025 IEEE International Joint Conference on Biometrics, IJCB 2025).
- Vibrational Spectroscopy Can Be Vulnerable to Adversarial Attacks, Liu, J., Osadchy, M., Wang, Y., Wu, Y., Li, E., Hu, X. & Fang, Y., 22 Oct 2024, In: Analytical Chemistry. 96, 42, p. 16570-16580 11 p.
- Masked particle modeling on sets: towards self-supervised high energy physics foundation models, Golling, T., Heinrich, L., Kagan, M., Klein, S., Leigh, M., Osadchy, M. & Andrew Raine, J., 1 Sep 2024, In: Machine Learning: Science and Technology. 5, 3, 035074.
- Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers, Wu, Y., Liu, J., Wang, Y., Gibson, S., Osadchy, M. & Fang, Y., 1 May 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 5, p. 3845-3861 17 p., 10375128.
- A Unified Approach to Coreset Learning, Maalouf, A., Eini, G., Mussay, B., Feldman, D. & Osadchy, M., 1 May 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 5, p. 6893-6905 13 p.
- Mind the Gap: Learning Modality-Agnostic Representations with a Cross-Modality UNet, Niu, X., Li, E., Liu, J., Wang, Y., Osadchy, M. & Fang, Y., 2024, In: IEEE Transactions on Image Processing. 33, p. 655-670 16 p.
- Correction to "Mapping Atomic-Scale Metal-Molecule Interactions: Salient Feature Extraction through Autoencoding of Vibrational Spectroscopy Data", Poppe, A., Griffiths, J., Hu, S., Baumberg, J. J., Osadchy, M., Gibson, S. & de Nijs, B., 2 Nov 2023, In: Journal of Physical Chemistry Letters. 14, 43, p. 9793 1 p.
- Mapping Atomic-Scale Metal-Molecule Interactions: Salient Feature Extraction through Autoencoding of Vibrational Spectroscopy Data, Poppe, A., Griffiths, J., Hu, S., Baumberg, J. J., Osadchy, M., Gibson, S. & de Nijs, B., 31 Aug 2023, In: Journal of Physical Chemistry Letters. 14, 34, p. 7603-7610 8 p.
- A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert, Keren, D., Osadchy, M. & Shahar, A., Jun 2023, In: Sensors. 23, 12, 5585.
- Data-Independent Structured Pruning of Neural Networks via Coresets, Mussay, B., Feldman, D., Zhou, S., Braverman, V. & Osadchy, M., Dec 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 12, p. 7829-7841 13 p.
- Using deep learning to predict human decisions and using cognitive models to explain deep learning models, Fintz, M., Osadchy, M. & Hertz, U., Dec 2022, In: Scientific Reports. 12, 1, 4736.
- How Deep Learning Tools Can Help Protein Engineers Find Good Sequences, Osadchy, M. & Kolodny, R., 24 Jun 2021, In: Journal of Physical Chemistry B. 125, 24, p. 6440-6450 11 p.
- Inverting Binarizations of Facial Templates Produced by Deep Learning (and Its Implications), Keller, D., Osadchy, M. & Dunkelman, O., 2021, In: IEEE Transactions on Information Forensics and Security. 16, p. 4184-4196 13 p., 9508363.
- Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning, Keller, D., Osadchy, M. & Dunkelman, O., 24 Dec 2020, In: IEEE Transactions on Information Forensics and Security.
- LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network, Bai, F., Liu, J., Liu, X., Osadchy, M., Wang, C. & Gibson, S. J., 17 Sep 2020, In: Neurocomputing. 406, p. 169-181 13 p.
- DATA-INDEPENDENT NEURAL PRUNING VIA CORESETS, Mussay, B., Osadchy, M., Braverman, V., Zhou, S. & Feldman, D., 2020.
- Data-Independent Structured Pruning of Neural Networks via Coresets, Mussay, B., Feldman, D., Zhou, S., Braverman, V. & Osadchy, M., 2020, 8th International Conference on Learning Representations, ICLR 2020. 24 p.
- It is All in the System’s Parameters: Privacy and Security Issues in Transforming Biometric Raw Data into Binary Strings, Osadchy, M. & Dunkelman, O., 1 Sep 2019, In: IEEE Transactions on Dependable and Secure Computing. 16, 5, p. 796-804 9 p.
- Dynamic spectrum matching with one-shot learning, Liu, J., Gibson, S. J., Mills, J. & Osadchy, M., 15 Jan 2019, In: Chemometrics and Intelligent Laboratory Systems. 184, p. 175-181 7 p.
- LDA classifier monitoring in distributed streaming systems, Bernstein, R., Osadchy, M., Keren, D. & Schuster, A., Jan 2019, In: Journal of Parallel and Distributed Computing. 123, p. 156-167 12 p.
- Hinge-minimax learner for the ensemble of hyperplanes, Raviv, D., Hazan, T. & Osadchy, M., 1 Oct 2018, In: Journal of Machine Learning Research. 19, p. 1-30 30 p.
- Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning, Liu, J., Gibson, S. J. & Osadchy, M., 22 Aug 2018.
- Rank and rate: multi-task learning for recommender systems, Hadash, G., Shalom, O. S. & Osadchy, R., 2018, Proceedings of the 12th ACM Conference on Recommender Systems. Publ by ACM, p. 451-454 4 p. (RecSys 2018 - 12th ACM Conference on Recommender Systems).
- Deep convolutional neural networks for Raman spectrum recognition: A unified solution, Liu, J., Osadchy, M., Ashton, L., Foster, M., Solomon, C. J. & Gibson, S. J., 7 Nov 2017, In: Analyst. 142, 21, p. 4067-4074 8 p.
- No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, with Applications to CAPTCHA Generation, Osadchy, M., Hernandez-Castro, J., Gibson, S., Dunkelman, O. & Perez-Cabo, D., Nov 2017, In: IEEE Transactions on Information Forensics and Security. 12, 11, p. 2640-2653 14 p., 7954632.
- Genface: Improving cyber security using realistic synthetic face generation, Osadchy, M., Wang, Y., Dunkelman, O., Gibson, S., Hernandez-Castro, J. & Solomon, C., 2017, Cyber Security Cryptography and Machine Learning - 1st International Conference, CSCML 2017, Proceedings. Dolev, S. & Lodha, S. (eds.). Springer Verlag, p. 19-33 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10332 LNCS).
- HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images, Ohana, M., Dunkelman, O., Gibson, S. & Osadchy, M., 11 Nov 2016.
- K-hyperplane hinge-minimax classifier, Osadchy, M., Hazan, T. & Keren, D., 2015, 32nd International Conference on Machine Learning, ICML 2015. Blei, D. & Bach, F. (eds.). International Machine Learning Society (IMLS), p. 1558-1566 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 2).
- Recognition using specular highlights, Netz, A. & Osadchy, M., 2013, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 35, 3, p. 639-652 14 p., 6212513.
- Poster: Secure authentication from facial attributes with no privacy loss, Dunkelman, O., Osadchy, M. & Sharif, M., 2013, CCS 2013 - Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security. p. 1403-1405 3 p. (Proceedings of the ACM Conference on Computer and Communications Security).
- Hybrid classifiers for object classification with a rich background, Osadchy, M., Keren, D. & Fadida-Specktor, B., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. p. 284-297 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).
- Maps of protein structure space reveal a fundamental relationship between protein structure and function, Osadchy, M. & Kolodny, R., 26 Jul 2011, In: Proceedings of the National Academy of Sciences of the United States of America. 108, 30, p. 12301-12306 6 p.
- Using specular highlights as pose invariant features for 2D-3D pose estimation, Netz, A. & Osadchy, M., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. IEEE Computer Society, p. 721-728 8 p. 5995673. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).
- Illumination invariant representation for privacy preserving face identification, Moskovich, B. & Osadchy, M., 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010. IEEE Computer Society, p. 154-161 8 p. 5544620. (2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010).
- Using specularities in comparing 3D models and 2D images, Osadchy, M., Jacobs, D., Ramamoorthi, R. & Tucker, D., Sep 2008, In: Computer Vision and Image Understanding. 111, 3, p. 275-294 20 p.
- Synergistic face detection and pose estimation with energy-based models, Osadchy, M., Le Cun, Y. & Miller, M. L., May 2007, In: Journal of Machine Learning Research. 8, p. 1197-1215 19 p.
- Surface dependent representations for illumination insensitive image comparison, Osadchy, M., Jacobs, D. W. & Lindenbaum, M., Jan 2007, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 29, 1, p. 98-111 14 p.
- Synergistic Face Detection and Pose Estimation with Energy-Based Models, Osadchy, M., Le Cun, Y. & Miller, M. L., 2006, Toward Category-Level Object Recognition. Ponce, J., Hebert, M., Schmid, C. & Zisserman, A. (eds.). Berlin, Heidelberg: Springer Berlin Heidelberg, p. 196-206 11 p. (Lecture Notes in Computer Science; vol. 4170).
- Incorporating the Boltzmann prior in object detection using SVM, Osadchy, M. & Keren, D., 2006, Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. p. 2095-2101 7 p. 1641010. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2).
- Synergistic face detection and pose estimation with energy-based models, Osadchy, M., Miller, M. L. & Le Cun, Y., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).
- On the equivalence of common approaches to lighting insensitive recognition, Osadchy, M., Jacobs, D. W. & Lindenbaum, M., 2005, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. p. 1721-1726 6 p. 1544924. (Proceedings of the IEEE International Conference on Computer Vision; vol. II).
- Efficient detection under varying illumination conditions and image plane rotations, Osadchy, M. & Keren, D., Mar 2004, In: Computer Vision and Image Understanding. 93, 3, p. 245-259 15 p.
- Whitening for photometric comparison of smooth surfaces under varying illumination, Osadchy, M., Lindenbaum, M. & Jacobs, D., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Pajdla, T. & Matas, J. (eds.). Springer Verlag, p. 217-228 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3024).
- Using specularities for recognition, Osadchy, M., Jacobs, D. & Ramamoorthi, R., 2003, In: Proceedings of the IEEE International Conference on Computer Vision. 2, p. 1512-1519 8 p.
- Antifaces: A novel, fast method for image detection, Keren, D., Osadchy, M. & Gotsman, C., Jul 2001, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 23, 7, p. 747-762 16 p.
- Anti-sequences: Event detection by frame stacking, Osadchy, M., Keren, D. & Gal, Y., 2001, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2, p. II46-II51
- Image detection under varying illumination and pose, Osadchy, M. & Keren, D., 2001, p. 668-673. 6 p.
- Restoring subsampled color images, Keren, D. & Osadchy, M., 1998, In: Machine Vision and Applications. 11, 4, p. 197-202 6 p.
Research Areas
- Maching learning
- AI
- Data sceience
- Biometrics
- Privacy and Security in AI and biometric data