Cover Image

Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Shuai, Li, Xue, Feng, Yanna, Li, Yufang, Wang, Zhijun, Wang, Ran
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence I.2.7; I.2.10; K.4.1; K.6.5
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SALLIE: Safeguarding Against Latent Language & Image Exploits
by: Azov, Guy, et al.
Published: (2026)

Extracting Training Data from Document-Based VQA Models
by: Pinto, Francesco, et al.
Published: (2024)

Replicating TEMPEST at Scale: Multi-Turn Adversarial Attacks Against Trillion-Parameter Frontier Models
by: Young, Richard
Published: (2025)

JPS: Jailbreak Multimodal Large Language Models with Collaborative Visual Perturbation and Textual Steering
by: Chen, Renmiao, et al.
Published: (2025)

Whisper Leak: a side-channel attack on Large Language Models
by: McDonald, Geoff, et al.
Published: (2025)

AI vs. Human Moderators: A Comparative Evaluation of Multimodal LLMs in Content Moderation for Brand Safety
by: Levi, Adi, et al.
Published: (2025)

Toward Secure and Compliant AI: Organizational Standards and Protocols for NLP Model Lifecycle Management
by: Arora, Sunil, et al.
Published: (2025)

The Company You Keep: How LLMs Respond to Dark Triad Traits
by: Lu, Zeyi, et al.
Published: (2026)

The Rise of Verbal Tics in Large Language Models: A Systematic Analysis Across Frontier Models
by: Wu, Shuai, et al.
Published: (2026)

From Helpfulness to Toxic Proactivity: Diagnosing Behavioral Misalignment in LLM Agents
by: Wang, Xinyue, et al.
Published: (2026)

MetaCloak-JPEG: JPEG-Robust Adversarial Perturbation for Preventing Unauthorized DreamBooth-Based Deepfake Generation
by: Fardin, Tanjim Rahaman, et al.
Published: (2026)

Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation
by: Hartmann, David, et al.
Published: (2026)

Whose wife is it anyway? Assessing bias against same-gender relationships in machine translation
by: Stewart, Ian, et al.
Published: (2024)

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI
by: Qi, Jinhu, et al.
Published: (2026)

Before the Last Token: Diagnosing Final-Token Safety Probe Failures
by: Doda, Shravan
Published: (2026)

MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization
by: Gu, Yongtong, et al.
Published: (2026)

A Roadmap for Multilingual, Multimodal Domain Independent Deception Detection
by: Boumber, Dainis, et al.
Published: (2024)

Council Mode: A Heterogeneous Multi-Agent Consensus Framework for Reducing LLM Hallucination and Bias
by: Wu, Shuai, et al.
Published: (2026)

Privacy in the Age of AI: A Taxonomy of Data Risks
by: Billiris, Grace, et al.
Published: (2025)

Exploring and Mitigating Gender Bias in Encoder-Based Transformer Models
by: Hossain, Ariyan, et al.
Published: (2025)

Qwerty AI: Explainable Automated Age Rating and Content Safety Assessment for Russian-Language Screenplays
by: Zmanovskii, Nikita
Published: (2025)

Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Model Safety Tiers
by: Wang, Haochuan Kevin, et al.
Published: (2026)

Formal Proofs as Structured Explanations: Proposing Several Tasks on Explainable Natural Language Inference
by: Abzianidze, Lasha
Published: (2023)

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements
by: Wang, Yifei, et al.
Published: (2026)

Component-Based Fairness in Face Attribute Classification with Bayesian Network-informed Meta Learning
by: Liu, Yifan, et al.
Published: (2025)

Toward Individual Fairness Without Centralized Data: Selective Counterfactual Consistency for Vertical Federated Learning
by: Wasif, Dawood, et al.
Published: (2026)

The Invisible Coalition Partner: How LLMs Vote When Democracy Gets Concrete
by: Barmettler, Joel
Published: (2026)

Not Everything That Counts Can Be Counted: A Case for Safe Qualitative AI
by: Beltoft, Stine, et al.
Published: (2025)

Human Values in a Single Sentence: Moral Presence, Hierarchies, and Transformer Ensembles on the Schwartz Continuum
by: Yeste, Víctor, et al.
Published: (2026)

REMIND: Input Loss Landscapes Reveal Residual Memorization in Post-Unlearning LLMs
by: Cohen, Liran, et al.
Published: (2025)

Tatemae: Detecting Alignment Faking via Tool Selection in LLMs
by: Leonesi, Matteo, et al.
Published: (2026)

AgentLeak: A Full-Stack Benchmark for Privacy Leakage in Multi-Agent LLM Systems
by: Yagoubi, Faouzi El, et al.
Published: (2026)

Architecture-Agnostic Feature Synergy for Universal Defense Against Heterogeneous Generative Threats
by: Zhang, Bingxue, et al.
Published: (2026)

LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
by: Lucas, Tom, et al.
Published: (2026)

Informed AI Regulation: Comparing the Ethical Frameworks of Leading LLM Chatbots Using an Ethics-Based Audit to Assess Moral Reasoning and Normative Values
by: Chun, Jon, et al.
Published: (2024)

VectraYX-Nano: A 42M-Parameter Spanish Cybersecurity Language Model with Curriculum Learning and Native Tool Use
by: Santillana, Juan S.
Published: (2026)

Benchmarking Large Language Models for IoC Recovery under Adversarial Code Obfuscation and Encryption
by: Morales, Jaime, et al.
Published: (2026)

PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
by: Zhang, Zhaowei, et al.
Published: (2025)

The Architecture of Trust: A Framework for AI-Augmented Real Estate Valuation in the Era of Structured Data
by: Teikari, Petteri, et al.
Published: (2025)

APPSI-139: A Parallel Corpus of English Application Privacy Policy Summarization and Interpretation
by: Zhu, Pengyun, et al.
Published: (2026)