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Books and Theses
- 2009
[b1]Guy Amit:
Automatic analysis of vibro-acoustic heart signals: combining signal processing and computational learning techniques for non-invasive evaluation and monitoring of cardiac function. Tel Aviv University, Israel, 2009
Journal Articles
- 2023
- [j6]Yimeng Liu, Guy Amit
, Xiaolei Zhao, Na Wu, Daqing Li, Amir Bashan:
Individualized network analysis reveals a link between the gut microbiome, diet intervention and Gestational Diabetes Mellitus. PLoS Comput. Biol. 19(6) (2023) - 2021
- [j5]Guy Amit, Asaf Shabtai, Yuval Elovici:
A Self-Healing Mechanism for Internet of Things Devices. IEEE Secur. Priv. 19(1): 44-53 (2021) - 2016
- [j4]Or Perlman, Amos Katz, Guy Amit, Yaniv Zigel:
Supraventricular Tachycardia Classification in the 12-Lead ECG Using Atrial Waves Detection and a Clinically Based Tree Scheme. IEEE J. Biomed. Health Informatics 20(6): 1513-1520 (2016) - 2014
- [j3]Or Perlman, Amos Katz, Noam Weissman, Guy Amit, Yaniv Zigel:
Atrial Electrical Activity Detection Using Linear Combination of 12-Lead ECG Signals. IEEE Trans. Biomed. Eng. 61(4): 1034-1043 (2014) - 2013
- [j2]Guy Amit, Yizhar Toren, Linda R. Davrath, Eran Toledo, Shimon Abboud:
The cost-effectiveness of stress testing using high-frequency QRS analysis. Int. J. Medical Eng. Informatics 5(1): 68-80 (2013) - 2009
- [j1]Guy Amit, Noam Gavriely, Nathan Intrator:
Cluster analysis and classification of heart sounds. Biomed. Signal Process. Control. 4(1): 26-36 (2009)
Conference and Workshop Papers
- 2024
- [c22]Alon Zolfi, Guy Amit, Amit Baras, Satoru Koda, Ikuya Morikawa, Yuval Elovici, Asaf Shabtai:
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection. CVPR 2024: 5788-5797 - [c21]Shlomit Gur, Guy Amit:
eXplainable Random Forest. HAII5.0@ECAI 2024 - [c20]Guy Amit, Moshe Levy, Yisroel Mirsky:
Transpose Attack: Stealing Datasets with Bidirectional Training. NDSS 2024 - [c19]Roy Weiss, Daniel Ayzenshteyn, Guy Amit, Yisroel Mirsky:
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants. USENIX Security Symposium 2024 - 2022
- [c18]Guy Amit, Fabiana Fournier, Lior Limonad, Inna Skarbovsky:
Situation-Aware eXplainability for Business Processes Enabled by Complex Events. Business Process Management Workshops 2022: 45-57 - [c17]Guy Amit, Fabiana Fournier, Shlomit Gur, Lior Limonad:
Model-informed LIME Extension for Business Process Explainability. PMAI@IJCAI 2022: 1-12 - [c16]Yushi Cao, David Berend, Palina Tolmach, Guy Amit, Moshe Levy, Yang Liu, Asaf Shabtai, Yuval Elovici:
Fair and accurate age prediction using distribution aware data curation and augmentation. WACV 2022: 2867-2877 - 2021
- [c15]Alon Brutzkus, Pinchas Akiva, Guy Amit:
To Deep or Not to Deep: Comparison of Traditional and Deep Learning Models in Disease Prediction from Electronic Health Records. AMIA 2021 - [c14]Michael Kiperberg, Guy Amit, Amir Yeshooroon, Nezer J. Zaidenberg:
Efficient DLP-visor: An efficient hypervisor-based DLP. CCGRID 2021: 344-355 - [c13]Guy Amit, Amir Yeshooroon, Michael Kiperberg, Nezer J. Zaidenberg:
DLP-Visor: A Hypervisor-based Data Leakage Prevention System. ICISSP 2021: 416-423 - [c12]Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici:
FOOD: Fast Out-Of-Distribution Detector. IJCNN 2021: 1-8 - 2019
- [c11]Shaked Perek, Lior Ness, Mika Amit, Ella Barkan, Guy Amit:
Learning from Longitudinal Mammography Studies. MICCAI (6) 2019: 712-720 - 2018
- [c10]Tal Tlusty, Guy Amit, Rami Ben-Ari:
Unsupervised clustering of mammograms for outlier detection and breast density estimation. ICPR 2018: 3808-3813 - 2017
- [c9]Omer Hadad, Ran Bakalo, Rami Ben-Ari, Sharbell Y. Hashoul, Guy Amit:
Classification of breast lesions using cross-modal deep learning. ISBI 2017: 109-112 - [c8]Guy Amit, Rami Ben-Ari, Omer Hadad, Einat Monovich, Noa Granot, Sharbell Y. Hashoul:
Classification of breast MRI lesions using small-size training sets: comparison of deep learning approaches. Medical Imaging: Computer-Aided Diagnosis 2017: 101341H - [c7]Guy Amit, Omer Hadad, Sharon Alpert, Tal Tlusty, Yaniv Gur, Rami Ben-Ari, Sharbell Y. Hashoul:
Hybrid Mass Detection in Breast MRI Combining Unsupervised Saliency Analysis and Deep Learning. MICCAI (3) 2017: 594-602 - 2016
- [c6]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul:
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis 2016: 97850A - 2015
- [c5]Guy Amit, Sharbell Y. Hashoul, Pavel Kisilev, Boaz Ophir, Eugene Walach, Aviad Zlotnick:
Automatic Dual-View Mass Detection in Full-Field Digital Mammograms. MICCAI (2) 2015: 44-52 - 2014
- [c4]Guy Amit, Thomas G. Purdie, Alex Levinshtein, Andrew Hope, Patricia Lindsay, David A. Jaffray, Vladimir Pekar:
Automatic learning-based selection of beam angles in radiation therapy of lung cancer. ISBI 2014: 230-233 - 2008
- [c3]Guy Amit, Jonathan Lessick, Noam Gavriely, Nathan Intrator:
Acoustic Indices of Cardiac Functionality. BIOSIGNALS (2) 2008: 77-83 - 2006
- [c2]Guy Amit, Yaron Caspi, Ran Vitale, Adi Pinhas:
Scalability of Multimedia Applications on Next-Generation Processors. ICME 2006: 17-20 - 2005
- [c1]Guy Amit, Adi Pinhas:
Real-Time H.264 Encoding by Thread-Level Parallelism: Gains and Pitfalls. IASTED PDCS 2005: 254-259
Informal and Other Publications
- 2024
- [i11]Guy Amit, Abigail Goldsteen, Ariel Farkash:
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. CoRR abs/2403.08481 (2024) - [i10]Roy Weiss, Daniel Ayzenshteyn, Guy Amit, Yisroel Mirsky:
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants. CoRR abs/2403.09751 (2024) - [i9]Maya Anderson, Guy Amit, Abigail Goldsteen:
Is My Data in Your Retrieval Database? Membership Inference Attacks Against Retrieval Augmented Generation. CoRR abs/2405.20446 (2024) - [i8]Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit:
Membership Inference Attacks Against Time-Series Models. CoRR abs/2407.02870 (2024) - [i7]Fred Matanel Grabovski, Lior Yasur, Guy Amit, Yuval Elovici, Yisroel Mirsky:
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes. CoRR abs/2407.15169 (2024) - 2023
- [i6]Guy Amit, Moshe Levy, Yisroel Mirsky:
Transpose Attack: Stealing Datasets with Bidirectional Training. CoRR abs/2311.07389 (2023) - 2022
- [i5]Moshe Levy, Guy Amit, Yuval Elovici, Yisroel Mirsky:
The Security of Deep Learning Defences for Medical Imaging. CoRR abs/2201.08661 (2022) - [i4]Alon Zolfi, Guy Amit, Amit Baras, Satoru Koda, Ikuya Morikawa, Yuval Elovici, Asaf Shabtai:
YolOOD: Utilizing Object Detection Concepts for Out-of-Distribution Detection. CoRR abs/2212.02081 (2022) - 2020
- [i3]Guy Amit, Ishai Rosenberg, Moshe Levy, Ron Bitton, Asaf Shabtai, Yuval Elovici:
Neural Network Representation Control: Gaussian Isolation Machines and CVC Regularization. CoRR abs/2002.02176 (2020) - [i2]Guy Amit, Moshe Levy, Ishai Rosenberg, Asaf Shabtai, Yuval Elovici:
GLOD: Gaussian Likelihood Out of Distribution Detector. CoRR abs/2008.06856 (2020) - [i1]Yushi Cao, David Berend, Palina Tolmach, Moshe Levy, Guy Amit, Asaf Shabtai, Yuval Elovici, Yang Liu:
Fairness Matters - A Data-Driven Framework Towards Fair and High Performing Facial Recognition Systems. CoRR abs/2009.05283 (2020)
Coauthor Index
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