Imagen de Portada

LLM for Barcodes: Generating Diverse Synthetic Data for Identity Documents

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Patel, Hitesh Laxmichand, Agarwal, Amit, Kumar, Bhargava, Gupta, Karan, Pattnayak, Priyaranjan
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Tokenization Matters: Improving Zero-Shot NER for Indic Languages
por: Pattnayak, Priyaranjan, et al.
Publicado: (2025)

Clinical QA 2.0: Multi-Task Learning for Answer Extraction and Categorization
por: Pattnayak, Priyaranjan, et al.
Publicado: (2025)

Enhancing Document AI Data Generation Through Graph-Based Synthetic Layouts
por: Agarwal, Amit, et al.
Publicado: (2024)

LLM-Guided Lifecycle-Aware Clustering of Multi-Turn Customer Support Conversations
por: Pattnayak, Priyaranjan, et al.
Publicado: (2026)

Hard Negative Mining for Domain-Specific Retrieval in Enterprise Systems
por: Meghwani, Hansa, et al.
Publicado: (2025)

Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy
por: Pattnayak, Priyaranjan, et al.
Publicado: (2024)

SAGE-RT: Synthetic Alignment data Generation for Safety Evaluation and Red Teaming
por: Kumar, Anurakt, et al.
Publicado: (2024)

Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation
por: Pattnayak, Priyaranjan, et al.
Publicado: (2025)

SpeechWeave: Diverse Multilingual Synthetic Text & Audio Data Generation Pipeline for Training Text to Speech Models
por: Dua, Karan, et al.
Publicado: (2025)

AccessEval: Benchmarking Disability Bias in Large Language Models
por: Panda, Srikant, et al.
Publicado: (2025)

IndicSafe: A Benchmark for Evaluating Multilingual LLM Safety in South Asia
por: Pattnayak, Priyaranjan, et al.
Publicado: (2026)

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use
por: Patel, Hitesh Laxmichand, et al.
Publicado: (2025)

EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors
por: Banayeeanzade, Amin, et al.
Publicado: (2026)

Prompt Leakage effect and defense strategies for multi-turn LLM interactions
por: Agarwal, Divyansh, et al.
Publicado: (2024)

SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning
por: Zhou, Kaiwen, et al.
Publicado: (2025)

Virus Infection Attack on LLMs: Your Poisoning Can Spread "VIA" Synthetic Data
por: Liang, Zi, et al.
Publicado: (2025)

LLM in the Shell: Generative Honeypots
por: Sladić, Muris, et al.
Publicado: (2023)

Certifying LLM Safety against Adversarial Prompting
por: Kumar, Aounon, et al.
Publicado: (2023)

Synthetic Data for Veterinary EHR De-identification: Benefits, Limits, and Safety Trade-offs Under Fixed Compute
por: Brundage, David
Publicado: (2026)

DataShield: Safety-degrading Data Filtering for LLM Benign Instruction Fine-Tuning
por: Zhang, Junbo, et al.
Publicado: (2026)

OneShield -- the Next Generation of LLM Guardrails
por: DeLuca, Chad, et al.
Publicado: (2025)

Token-level Data Selection for Safe LLM Fine-tuning
por: Li, Yanping, et al.
Publicado: (2026)

XMark: Reliable Multi-Bit Watermarking for LLM-Generated Texts
por: Xu, Jiahao, et al.
Publicado: (2026)

IndicJR: A Judge-Free Benchmark of Jailbreak Robustness in South Asian Languages
por: Pattnayak, Priyaranjan, et al.
Publicado: (2026)

LLM for SoC Security: A Paradigm Shift
por: Saha, Dipayan, et al.
Publicado: (2023)

LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation
por: Li, Xingyu, et al.
Publicado: (2025)

Graph of Attacks with Pruning: Optimizing Stealthy Jailbreak Prompt Generation for Enhanced LLM Content Moderation
por: Schwartz, Daniel, et al.
Publicado: (2025)

What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
por: Weiss, Roy, et al.
Publicado: (2024)

When Reject Turns into Accept: Quantifying the Vulnerability of LLM-Based Scientific Reviewers to Indirect Prompt Injection
por: Sahoo, Devanshu, et al.
Publicado: (2025)

Systematically Analyzing Prompt Injection Vulnerabilities in Diverse LLM Architectures
por: Benjamin, Victoria, et al.
Publicado: (2024)

Contextualized Privacy Defense for LLM Agents
por: Wen, Yule, et al.
Publicado: (2026)

LLM Jailbreak Detection for (Almost) Free!
por: Chen, Guorui, et al.
Publicado: (2025)

RedSage: A Cybersecurity Generalist LLM
por: Suryanto, Naufal, et al.
Publicado: (2026)

FLAME: Flexible LLM-Assisted Moderation Engine
por: Bakulin, Ivan, et al.
Publicado: (2025)

Geneshift: Impact of different scenario shift on Jailbreaking LLM
por: Wu, Tianyi, et al.
Publicado: (2025)

BadJudge: Backdoor Vulnerabilities of LLM-as-a-Judge
por: Tong, Terry, et al.
Publicado: (2025)

SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking
por: Gu, Chenxi, et al.
Publicado: (2026)

Beyond Jailbreaking: Auditing Contextual Privacy in LLM Agents
por: Das, Saswat, et al.
Publicado: (2025)

NeuroFilter: Privacy Guardrails for Conversational LLM Agents
por: Das, Saswat, et al.
Publicado: (2026)

Searching for Privacy Risks in LLM Agents via Simulation
por: Zhang, Yanzhe, et al.
Publicado: (2025)