Cover Image

Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kharlamova, Arina, He, Bowei, Ma, Chen, Liu, Xue
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exposing Hidden Interfaces: LLM-Guided Type Inference for Reverse Engineering macOS Private Frameworks
by: Kharlamova, Arina, et al.
Published: (2026)

COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
by: Wang, Junyu, et al.
Published: (2025)

A Hybrid CAPTCHA Combining Generative AI with Keystroke Dynamics for Enhanced Bot Detection
by: Nia, Ayda Aghaei
Published: (2025)

aCAPTCHA: Verifying That an Entity Is a Capable Agent via Asymmetric Hardness
by: Xu, Zuyao, et al.
Published: (2026)

CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective Training
by: Chen, Yuxi, et al.
Published: (2026)

SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
by: Yin, Yangxu, et al.
Published: (2025)

TH-Bench: Evaluating Evading Attacks via Humanizing AI Text on Machine-Generated Text Detectors
by: Zheng, Jingyi, et al.
Published: (2025)

BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended Videos
by: Lin, Lehao, et al.
Published: (2025)

DPrivBench: Benchmarking LLMs' Reasoning for Differential Privacy
by: Wang, Erchi, et al.
Published: (2026)

Reverse CAPTCHA: Evaluating LLM Susceptibility to Invisible Unicode Instruction Injection
by: Graves, Marcus
Published: (2026)

DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
by: Gong, Chen, et al.
Published: (2025)

IllusionCAPTCHA: A CAPTCHA based on Visual Illusion
by: Ding, Ziqi, et al.
Published: (2025)

Oedipus: LLM-enchanced Reasoning CAPTCHA Solver
by: Deng, Gelei, et al.
Published: (2024)

Learning Quantised Structure-Preserving Motion Representations for Dance Fingerprinting
by: Kharlamova, Arina, et al.
Published: (2026)

Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation
by: Wang, Ziyao, et al.
Published: (2025)

SecPI: Secure Code Generation with Reasoning Models via Security Reasoning Internalization
by: Wang, Hao, et al.
Published: (2026)

CTIArena: Benchmarking LLM Knowledge and Reasoning Across Heterogeneous Cyber Threat Intelligence
by: Cheng, Yutong, et al.
Published: (2025)

Benchmarking Safety Risks of Knowledge-Intensive Reasoning under Malicious Knowledge Editing
by: Mao, Qinghua, et al.
Published: (2026)

Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems
by: Berezin, Sergey, et al.
Published: (2024)

Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic
by: Kayode, Bisola Faith, et al.
Published: (2025)

VADER: A Human-Evaluated Benchmark for Vulnerability Assessment, Detection, Explanation, and Remediation
by: Liu, Ethan TS., et al.
Published: (2025)

GEO-Bench: Benchmarking Ranking Manipulation in Generative Engine Optimization
by: Nimase, Ojas, et al.
Published: (2026)

Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models
by: Peng, Wanli, et al.
Published: (2025)

Red Teaming Large Reasoning Models
by: Chen, Jiawei, et al.
Published: (2025)

HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation
by: Chen, Qirui, et al.
Published: (2026)

AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understanding
by: Ma, Haokai, et al.
Published: (2025)

CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning
by: Deason, Lauren, et al.
Published: (2025)

Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services
by: Sun, Guoheng, et al.
Published: (2025)

Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
by: Mu, Yanming, et al.
Published: (2026)

ReasoningBomb: A Stealthy Denial-of-Service Attack by Inducing Pathologically Long Reasoning in Large Reasoning Models
by: Liu, Xiaogeng, et al.
Published: (2026)

ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
by: Liu, Xuxu, et al.
Published: (2025)

Privacy Preserving Machine Learning Workflow: from Anonymization to Personalized Differential Privacy Budgets in Federated Learning
by: Díaz, Judith Sáinz-Pardo, et al.
Published: (2026)

Differential Privacy in Generative AI Agents: Analysis and Optimal Tradeoffs
by: Yang, Ya-Ting, et al.
Published: (2026)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey
by: Liu, Ziyao, et al.
Published: (2024)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
by: Liu, Honghao, et al.
Published: (2026)

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
by: Liu, Yue, et al.
Published: (2025)

The Human-Machine Identity Blur: A Unified Framework for Cybersecurity Risk Management in 2025
by: Janani, Kush
Published: (2025)

AutoPenBench: Benchmarking Generative Agents for Penetration Testing
by: Gioacchini, Luca, et al.
Published: (2024)

Crimson: Empowering Strategic Reasoning in Cybersecurity through Large Language Models
by: Jin, Jiandong, et al.
Published: (2024)

DDSA: Dual-Domain Strategic Attack for Spatial-Temporal Efficiency in Adversarial Robustness Testing
by: Hu, Jinwei, et al.
Published: (2026)