Amit Giloni

According to our database, Amit Giloni authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems.

Ron Solomon, Yarin Yerushalmi Levi, Lior Vaknin, Eran Aizikovich, Amit Baras, Etai Ohana, Amit Giloni, Shamik Bose, Chiara Picardi, Yuval Elovici, Asaf Shabtai

CoRR, August, 2025

DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection.

Amit Giloni, Omer Hofman, Ikuya Morikawa, Toshiya Shimizu, Yuval Elovici, Asaf Shabtai

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Identifying Memorization of Diffusion Models Through p-Laplace Analysis.

Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.

Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Vikas Pahuja, Rathina Sabapathy, Aishvariya Priya, Amit Giloni, Roman Vainshtein, Hisashi Kojima

Proceedings of the IEEE/ACM International Workshop on Responsible AI Engineering, 2025

Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images.

Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models.

Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev, Amit Giloni, Omer Hofman, Toshiya Shimizu, Asaf Shabtai, Yuval Elovici

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

X-Detect: explainable adversarial patch detection for object detectors in retail.

Omer Hofman, Amit Giloni, Yarin Hayun, Ikuya Morikawa, Toshiya Shimizu, Yuval Elovici, Asaf Shabtai

Mach. Learn., September, 2024

BENN: Bias Estimation Using a Deep Neural Network.

Amit Giloni, Edita Grolman, Tanja Hagemann, Ronald Fromm, Sebastian Fischer, Yuval Elovici, Asaf Shabtai

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Addressing Key Challenges of Adversarial Attacks and Defenses in the Tabular Domain: A Methodological Framework for Coherence and Consistency.

Yael Itzhakev, Amit Giloni, Yuval Elovici, Asaf Shabtai

CoRR, 2024

Query-Based External Information Leakage Attacks on Face Recognition Models.

Edita Grolman, Amit Giloni, Ryuta Kremer, Hiroo Saito, Tomoyuki Shibata, Tsukasa Omino, Misaki Komatsu, Yoshikazu Hanatani, Asaf Shabtai, Yuval Elovici

Proceedings of the International Joint Conference on Neural Networks, 2024

AdversariaLeak: External Information Leakage Attack Using Adversarial Samples on Face Recognition Systems.

Roye Katzav, Amit Giloni, Edita Grolman, Hiroo Saito, Tomoyuki Shibata, Tsukasa Omino, Misaki Komatsu, Yoshikazu Hanatani, Yuval Elovici, Asaf Shabtai

Proceedings of the Computer Vision - ECCV 2024, 2024

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.

Jonathan Brokman, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

FEPC: Fairness Estimation Using Prototypes and Critics for Tabular Data.

Amit Giloni, Edita Grolman, Yuval Elovici, Asaf Shabtai

Proceedings of the 26th International Conference on Pattern Recognition, 2022