Inderjeet Singh

20 papers A* 1A 1C 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adversarial Intent is a Latent Variable: Stateful Trust Inference for Securing Multimodal Agentic RAG.
CoRR
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
2025 — conf
DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models.
ACL (Findings)
Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima, Yuval Elovici, Asaf Shabtai
2025 — conf
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.
RAIE
Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Vikas Pahuja, Rathina Sabapathy, Aishvariya Priya, Amit Giloni, Roman Vainshtein, Hisashi Kojima
2025 A* conf
TFDP: Token-Efficient Disparity Audits for Autoregressive LLMs via Single-Token Masked Evaluation.
EMNLP
Inderjeet Singh, Ramya Srinivasan, Roman Vainshtein, Hisashi Kojima
2024 A conf
ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search.
BMVC
Inderjeet Singh, Roman Vainshtein, Alon Zolfi, Asaf Shabtai, Tu Bui, Jonathan Brokman, Omer Hofman, Fumiyoshi Kasahara, Kentaro Tsuji, Hisashi Kojima
2024 J jnl
DIESEL - Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs.
CoRR
Ben Ganon, Alon Zolfi, Omer Hofman, Inderjeet Singh, Hisashi Kojima, Yuval Elovici, Asaf Shabtai
2024 J jnl
Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis.
CoRR
Jonathan Brokman, Omer Hofman, Oren Rachmil, Inderjeet Singh, Rathina Sabapathy, Aishvariya Priya, Vikas Pahuja, Amit Giloni, Roman Vainshtein, Hisashi Kojima
2024 — conf
MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.
ECCV (75)
Jonathan Brokman, Omer Hofman, Roman Vainshtein, Amit Giloni, Toshiya Shimizu, Inderjeet Singh, Oren Rachmil, Alon Zolfi, Asaf Shabtai, Yuki Unno, Hisashi Kojima
2023 C conf
Advancing Deep Metric Learning With Adversarial Robustness.
ACML
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
2023 J jnl
Evaluating the Cybersecurity Risk of Real-world, Machine Learning Production Systems.
ACM Comput. Surv.
Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai
2023 J jnl
FRAUDability: Estimating Users' Susceptibility to Financial Fraud Using Adversarial Machine Learning.
CoRR
Chen Doytshman, Satoru Momiyama, Inderjeet Singh, Yuval Elovici, Asaf Shabtai
2023 J jnl
Simultaneous Adversarial Attacks On Multiple Face Recognition System Components.
CoRR
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
2022 J jnl
Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples.
CoRR
Inderjeet Singh, Kazuya Kakizaki, Toshinori Araki
2022 — conf
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems.
WACV (Workshops)
Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki
2022 J jnl
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems.
CoRR
Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki
2021 J jnl
A Framework for Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems.
CoRR
Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai
2021 J jnl
Dodging Attack Using Carefully Crafted Natural Makeup.
CoRR
Nitzan Guetta, Asaf Shabtai, Inderjeet Singh, Satoru Momiyama, Yuval Elovici
2021 — conf
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems.
BIOSIG
Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki
2021 J jnl
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems.
CoRR
Inderjeet Singh, Satoru Momiyama, Kazuya Kakizaki, Toshinori Araki
2021 — conf
Toward Practical Adversarial Attacks on Face Verification Systems.
BIOSIG
Kazuya Kakizaki, Taiki Miyagawa, Inderjeet Singh, Jun Sakuma