Inderjeet Singh

According to our database, Inderjeet Singh authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Adversarial Intent is a Latent Variable: Stateful Trust Inference for Securing Multimodal Agentic RAG.

Inderjeet Singh, Vikas Pahuja, Aishvariya Priya Rathina Sabapathy, Chiara Picardi, Amit Giloni, Roman Vainshtein, Andrés F. Murillo, Hisashi Kojima, Motoyoshi Sekiya, Yuki Unno, Junichi Suga

CoRR, February, 2026

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

TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation.

Inderjeet Singh, Ramya Srinivasan, Roman Vainshtein, Hisashi Kojima

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models.

Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima, Yuval Elovici, Asaf Shabtai

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

DIESEL - Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs.

Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima, Yuval Elovici, Asaf Shabtai

CoRR, 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

ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search.

Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems.

Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai

ACM Comput. Surv., 2023

FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning.

Chen Doytshman, Satoru Momiyama, Inderjeet Singh, Yuval Elovici, Asaf Shabtai

CoRR, 2023

Simultaneous Adversarial Attacks On Multiple Face Recognition System Components.

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

CoRR, 2023

Advancing Deep Metric Learning With Adversarial Robustness.

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples.

Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki

CoRR, 2022

Powerful Physical Adversarial Examples Against Practical Face Recognition Systems.

Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

2021

Dodging Attack Using Carefully Crafted Natural Makeup.

Nitzan Guetta, Asaf Shabtai, Inderjeet Singh, Satoru Momiyama, Yuval Elovici

CoRR, 2021

A Framework for Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems.

Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai

CoRR, 2021

On Brightness Agnostic Adversarial Examples Against Face Recognition Systems.

Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki

Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021

Toward Practical Adversarial Attacks on Face Verification Systems.

Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh, Jun Sakuma

Proceedings of the 20th International Conference of the Biometrics Special Interest Group, 2021