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ORCIDInderjeet Singh 0001
Person information
- affiliation: Fujitsu Research of Europe, Slough, UK
- affiliation: NEC Corporation, Tokyo, Japan
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2020 – today
- 2025
[c7]Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Vikas Pahuja, Rathina Sabapathy, Aishvariya Priya, Amit Giloni, Roman Vainshtein, Hisashi Kojima:
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis. RAIE 2025: 1-8- 2024
- [c6]Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima:
ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search. BMVC 2024 - [c5]Jonathan Brokman
, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima:
MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models. ECCV (75) 2024: 1-17 - [i8]Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Rathina Sabapathy, Aishvariya Priya, Vikas Pahuja, Amit Giloni, Roman Vainshtein, Hisashi Kojima:
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis. CoRR abs/2410.16527 (2024) - 2023
- [j1]Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai:
Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems. ACM Comput. Surv. 55(9): 183:1-183:36 (2023) - [c4]Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki:
Advancing Deep Metric Learning With Adversarial Robustness. ACML 2023: 1231-1246 - [i7]Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki:
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components. CoRR abs/2304.05048 (2023) - [i6]Chen Doytshman, Satoru Momiyama, Inderjeet Singh, Yuval Elovici, Asaf Shabtai:
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning. CoRR abs/2312.01200 (2023) - 2022
- [c3]Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki:
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems. WACV (Workshops) 2022: 301-310 - [i5]Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki:
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems. CoRR abs/2203.15498 (2022) - [i4]Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki:
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples. CoRR abs/2211.16253 (2022) - 2021
- [c2]Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh, Jun Sakuma:
Toward Practical Adversarial Attacks on Face Verification Systems. BIOSIG 2021: 113-124 - [c1]Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki:
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems. BIOSIG 2021: 197-204 - [i3]Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai:
A Framework for Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems. CoRR abs/2107.01806 (2021) - [i2]Nitzan Guetta, Asaf Shabtai, Inderjeet Singh, Satoru Momiyama, Yuval Elovici:
Dodging Attack Using Carefully Crafted Natural Makeup. CoRR abs/2109.06467 (2021) - [i1]Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki:
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems. CoRR abs/2109.14205 (2021)
Coauthor Index
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