Benchmarking Neural Defend ARCAS 1B: A Foundational Multimodal Deepfake Detection Model
cs.CR, cs.AI
Submitted: 2026-09-21
Updated: 2026-09-21
Code: https://github.com/HorizonTEL/AIGIBench
Project page: https://fdmas.github.io/AIGCDetect/data
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- MIRROR: Manifold Ideal Reference ReconstructOR for Generalizable AI-Generated Image Detection
- MapDream: Task-Driven Map Learning for Vision-Language Navigation
- OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection
- How well are open sourced AI-generated image detection models out-of-the-box: A comprehensive benchmark study
- PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
- Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection
- HEDGE: Heterogeneous Ensemble for Detection of AI-GEnerated Images in the Wild
- Intrinsic water transport in moisture-capturing hydrogels
Related papers
- SoK: AI-Augmented Binary Reversing
- Relaxed Sender Anonymity for CBDC Interbank Settlement: A Zero-Knowledge Approach on Permissioned EVM
- Calibration-Family Overfit: Why Trusted Sabotage Monitors Don't Transfer Across Lineages
- Efficient Fuzzy PSI under One-Sided Assumptions
- Sealing the Audit-Runtime Gap for LLM Skills
- Token Composition: A Graph Based on EVM Logs