| 2026 | NDSS | Memory Backdoor Attacks on Neural Networks. | Eden Luzon, Guy Amit, Roy Weiss, Torsten Krau, Alexandra Dmitrienko, Yisroel Mirsky |
| 2025 | ICISSP | Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation. | Maya Anderson, Guy Amit, Abigail Goldsteen |
| 2024 | ACML | Membership Inference Attacks Against Time-Series Models. | Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash |
| 2024 | CVPR | YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection. | Alon Zolfi, Guy Amit, Amit Baras, Satoru Koda, Ikuya Morikawa, Yuval Elovici, Asaf Shabtai |
| 2024 | NDSS | Transpose Attack: Stealing Datasets with Bidirectional Training. | Guy Amit, Moshe Levy, Yisroel Mirsky |
| 2022 | BPM | Situation-Aware eXplainability for Business Processes Enabled by Complex Events. | Guy Amit, Fabiana Fournier, Lior Limonad, Inna Skarbovsky |
| 2022 | IJCAI | Model-informed LIME Extension for Business Process Explainability. | Guy Amit, Fabiana Fournier, Shlomit Gur, Lior Limonad |
| 2022 | WACV | Fair and accurate age prediction using distribution aware data curation and augmentation. | Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici |
| 2021 | AMIA | To Deep or Not to Deep: Comparison of Traditional and Deep Learning Models in Disease Prediction from Electronic Health Records. | Alon Brutzkus, Pinchas Akiva, Guy Amit |
| 2021 | CCGRID | Efficient DLP-visor: An efficient hypervisor-based DLP. | Michael Kiperberg, Guy Amit, Amir Yeshooroon, Nezer J. Zaidenberg |
| 2021 | ICISSP | DLP-Visor: A Hypervisor-based Data Leakage Prevention System. | Guy Amit, Amir Yeshooroon, Michael Kiperberg, Nezer J. Zaidenberg |
| 2021 | IJCNN | FOOD: Fast Out-Of-Distribution Detector. | Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici |
| 2019 | MICCAI | Learning from Longitudinal Mammography Studies. | Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit |
| 2018 | ICPR | Unsupervised clustering of mammograms for outlier detection and breast density estimation. | Tal Tlusty, Guy Amit, Rami Ben-Ari |
| 2017 | MICCAI | Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. | Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul |
| 2015 | MICCAI | Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. | Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick |