FEPC: Fairness Estimation Using Prototypes and Critics for Tabular Data. - Amit Giloni; Edita Grolman; Yuval Elovici; Asaf Shabtai (ICPR, 2022)

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 (ECCV (75), 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 (ECCV (75), 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 (IJCNN, 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)

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., 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., 2024)

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 (AAAI, 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 (ICLR, 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 (RAIE, 2025)

Identifying Memorization of Diffusion Models Through p-Laplace Analysis. - Jonathan Brokman; Amit Giloni; Omer Hofman; Roman Vainshtein; Hisashi Kojima; Guy Gilboa (SSVM (1), 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 (WACV, 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, 2025)