| Dodging attack using carefully crafted natural makeup N Guetta, A Shabtai, I Singh, S Momiyama, Y Elovici arXiv preprint arXiv:2109.06467, 2021 | 17 | 2021 |
| Evaluating the cybersecurity risk of real-world, machine learning production systems R Bitton, N Maman, I Singh, S Momiyama, Y Elovici, A Shabtai ACM Computing Surveys 55 (9), 1-36, 2023 | 10 | 2023 |
| Powerful physical adversarial examples against practical face recognition systems I Singh, T Araki, K Kakizaki Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| On Brightness Agnostic Adversarial Examples Against Face Recognition Systems I Singh, S Momiyama, K Kakizaki, T Araki 2021 International Conference of the Biometrics Special Interest Group …, 2021 | 8 | 2021 |
| A framework for evaluating the cybersecurity risk of real world, machine learning production systems R Bitton, N Maman, I Singh, S Momiyama, Y Elovici, A Shabtai arXiv preprint arXiv:2107.01806, 2021 | 4 | 2021 |
| Toward practical adversarial attacks on face verification systems K Kakizaki, T Miyagawa, I Singh, J Sakuma 2021 International Conference of the Biometrics Special Interest Group …, 2021 | 3 | 2021 |
| Anomaly Detection using Capsule Networks for High-dimensional Datasets I Singh, N Hemachandra arXiv preprint arXiv:2112.13514, 2021 | 1 | 2021 |
| Advancing Deep Metric Learning With Adversarial Robustness I Singh, K Kakizaki, T Araki Asian Conference on Machine Learning, 1231-1246, 2024 | | 2024 |
| FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning C Doytshman, S Momiyama, I Singh, Y Elovici, A Shabtai arXiv preprint arXiv:2312.01200, 2023 | | 2023 |
| Information processing device, information processing method, and recording medium K Kakizaki, I Singh US Patent App. 18/019,750, 2023 | | 2023 |
| Deep metric learning model training with multi-target adversarial examples I Singh, K Kakizaki, T Araki US Patent App. 17/687,540, 2023 | | 2023 |
| Facial recognition adversarial patch adjustment I Singh, T Araki US Patent App. 17/535,598, 2023 | | 2023 |
| Simultaneous Adversarial Attacks On Multiple Face Recognition System Components I Singh, K Kakizaki, T Araki arXiv preprint arXiv:2304.05048, 2023 | | 2023 |
| Adversarial image generation apparatus, control method, and computer-readable storage medium I Singh, K Kakizaki, T Araki, T Amada WO Patent 2023286251A1, 2023 | | 2023 |
| Supplementary Material: Advancing Deep Metric Learning With Adversarial Robustness I Singh, K Kakizaki, T Araki Proceedings of Machine Learning Research 222 (2023), 2023 | | 2023 |
| Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples I Singh, K Kakizaki, T Araki arXiv preprint arXiv:2211.16253, 2022 | | 2022 |
| On Brightness Agnostic Adversarial Examples Against Face Recognition Systems A Brömme, C Busch, N Damer, A Dantcheva, M Gomez-Barrero, K Raja GI-Edition, 197, 0 | | |
| A Risk Assessment Apparatus For Practical Face Recognition Systems Against Adversarial Attacks Jointly Fooling Detectors and Feature Extractors. US Patent App. 3,350/013,545, 0 | | |
| A training method for deep metric learning models using unadversarial examples and multiple batch normalization layers US Patent App. 3,350/013,708, 0 | | |
| Training Method for Improving Accuracy of Deep Metric Learning-based Models US Patent App. 3,350/013,577, 0 | | |
Kazuya KakizakiNEC Corporation, University of TsukubaVerified email at nec.com
