DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Yifeng, Ding, Yifan, Su, Hongyu, Li, Juncheng, Zhao, Yunhan, Luo, Lin, Chen, Zixing, Wang, Li, Wang, Xin, Wang, Yixu, Ma, Xingjun, Jiang, Yu-Gang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words
by: Su, Hongyu, et al.
Published: (2025)
by: Su, Hongyu, et al.
Published: (2025)
SafeVid: Toward Safety Aligned Video Large Multimodal Models
by: Wang, Yixu, et al.
Published: (2025)
by: Wang, Yixu, et al.
Published: (2025)
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models
by: Sun, Ye, et al.
Published: (2026)
by: Sun, Ye, et al.
Published: (2026)
BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025)
by: Li, Juncheng, et al.
Published: (2025)
HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models
by: Chen, Zixing, et al.
Published: (2026)
by: Chen, Zixing, et al.
Published: (2026)
Towards Context-Invariant Safety Alignment for Large Language Models
by: Wang, Yixu, et al.
Published: (2026)
by: Wang, Yixu, et al.
Published: (2026)
Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs
by: Chen, Yunhao, et al.
Published: (2025)
by: Chen, Yunhao, et al.
Published: (2025)
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
by: Wang, Ruofan, et al.
Published: (2024)
by: Wang, Ruofan, et al.
Published: (2024)
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
by: Wang, Yixu, et al.
Published: (2025)
by: Wang, Yixu, et al.
Published: (2025)
BrokenVideos: A Benchmark Dataset for Fine-Grained Artifact Localization in AI-Generated Videos
by: Lin, Jiahao, et al.
Published: (2025)
by: Lin, Jiahao, et al.
Published: (2025)
FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models
by: Wang, Xin, et al.
Published: (2025)
by: Wang, Xin, et al.
Published: (2025)
BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks
by: Zhao, Yunhan, et al.
Published: (2024)
by: Zhao, Yunhan, et al.
Published: (2024)
ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models
by: Zhao, Yunhan, et al.
Published: (2026)
by: Zhao, Yunhan, et al.
Published: (2026)
SentGuard: Sentence-Level Streaming Guardrails for Large Language Models
by: Yu, Jiaqi, et al.
Published: (2026)
by: Yu, Jiaqi, et al.
Published: (2026)
HoneypotNet: Backdoor Attacks Against Model Extraction
by: Wang, Yixu, et al.
Published: (2025)
by: Wang, Yixu, et al.
Published: (2025)
Mirror: A Multi-Agent System for AI-Assisted Ethics Review
by: Ding, Yifan, et al.
Published: (2026)
by: Ding, Yifan, et al.
Published: (2026)
TAME: Test-Time Adversarial Prompt Tuning via Mixture-of-Experts for Vision-Language Models
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
Simulated Ensemble Attack: Transferring Jailbreaks Across Fine-tuned Vision-Language Models
by: Wang, Ruofan, et al.
Published: (2025)
by: Wang, Ruofan, et al.
Published: (2025)
A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5
by: Ma, Xingjun, et al.
Published: (2026)
by: Ma, Xingjun, et al.
Published: (2026)
HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization
by: Duan, Zhiyi, et al.
Published: (2025)
by: Duan, Zhiyi, et al.
Published: (2025)
AgenticEval: Toward Agentic and Self-Evolving Safety Evaluation of Large Language Models
by: Wang, Yixu, et al.
Published: (2025)
by: Wang, Yixu, et al.
Published: (2025)
ModelLock: Locking Your Model With a Spell
by: Gao, Yifeng, et al.
Published: (2024)
by: Gao, Yifeng, et al.
Published: (2024)
DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
by: Xu, Zonghuan, et al.
Published: (2025)
by: Xu, Zonghuan, et al.
Published: (2025)
Defense-to-Attack: Bypassing Weak Defenses Enables Stronger Jailbreaks in Vision-Language Models
by: Zhao, Yunhan, et al.
Published: (2025)
by: Zhao, Yunhan, et al.
Published: (2025)
BadPatch: Diffusion-Based Generation of Physical Adversarial Patches
by: Wang, Zhixiang, et al.
Published: (2024)
by: Wang, Zhixiang, et al.
Published: (2024)
JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
by: Song, Jiaxin, et al.
Published: (2025)
by: Song, Jiaxin, et al.
Published: (2025)
ADMIT: Few-shot Knowledge Poisoning Attacks on RAG-based Fact Checking
by: Wu, Yutao, et al.
Published: (2025)
by: Wu, Yutao, et al.
Published: (2025)
AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)
by: Li, Jiayu, et al.
Published: (2025)
REVEAL: Reasoning-Enhanced Forensic Evidence Analysis for Explainable AI-Generated Image Detection
by: Cao, Huangsen, et al.
Published: (2025)
by: Cao, Huangsen, et al.
Published: (2025)
AdvQDet: Detecting Query-Based Adversarial Attacks with Adversarial Contrastive Prompt Tuning
by: Wang, Xin, et al.
Published: (2024)
by: Wang, Xin, et al.
Published: (2024)
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
by: Li, Teng, et al.
Published: (2025)
by: Li, Teng, et al.
Published: (2025)
T2UE: Generating Unlearnable Examples from Text Descriptions
by: Ma, Xingjun, et al.
Published: (2025)
by: Ma, Xingjun, et al.
Published: (2025)
Adversarial Prompt Distillation for Vision-Language Models
by: Luo, Lin, et al.
Published: (2024)
by: Luo, Lin, et al.
Published: (2024)
BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models
by: Li, Yige, et al.
Published: (2024)
by: Li, Yige, et al.
Published: (2024)
Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
by: Li, Xiao, et al.
Published: (2026)
by: Li, Xiao, et al.
Published: (2026)
LeakyCLIP: Extracting Training Data from CLIP
by: Chen, Yunhao, et al.
Published: (2025)
by: Chen, Yunhao, et al.
Published: (2025)
Fake Alignment: Are LLMs Really Aligned Well?
by: Wang, Yixu, et al.
Published: (2023)
by: Wang, Yixu, et al.
Published: (2023)
Internal Safety Collapse in Frontier Large Language Models
by: Wu, Yutao, et al.
Published: (2026)
by: Wu, Yutao, et al.
Published: (2026)
SAMA: Towards Multi-Turn Referential Grounded Video Chat with Large Language Models
by: Sun, Ye, et al.
Published: (2025)
by: Sun, Ye, et al.
Published: (2025)
AgentHazard: A Benchmark for Evaluating Harmful Behavior in Computer-Use Agents
by: Feng, Yunhao, et al.
Published: (2026)
by: Feng, Yunhao, et al.
Published: (2026)
Similar Items
-
Identity Lock: Locking API Fine-tuned LLMs With Identity-based Wake Words
by: Su, Hongyu, et al.
Published: (2025) -
SafeVid: Toward Safety Aligned Video Large Multimodal Models
by: Wang, Yixu, et al.
Published: (2025) -
DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models
by: Sun, Ye, et al.
Published: (2026) -
BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025) -
HazardArena: Evaluating Semantic Safety in Vision-Language-Action Models
by: Chen, Zixing, et al.
Published: (2026)