https://github.com/psyker-team/mist-v2
공식 코드Targeted Attack Improves Protection against Unauthorized Diffusion Customization
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Targeted Attack Improves Protection against Unauthorized Diffusion Customization
Revisiting Tampered Scene Text Detection in the Era of Generative AI
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A Survey
Evolving from Single-modal to Multi-modal Facial Deepfake Detection: A Survey
DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis
Linked Credibility Reviews for Explainable Misinformation Detection
XMAD-Bench: Cross-Domain Multilingual Audio Deepfake Benchmark
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Fake News Detection After LLM Laundering: Measurement and Explanation
Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking
Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval Systems
Fact-Saboteurs: A Taxonomy of Evidence Manipulation Attacks against Fact-Verification Systems
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond
To Tell The Truth: Language of Deception and Language Models
Defending Against Model Stealing Attacks with Adaptive Misinformation
Adversarial Socialbots Modeling Based on Structural Information Principles
Performance Analysis of Transformer Based Models (BERT, ALBERT and RoBERTa) in Fake News Detection
Identifying Possible Rumor Spreaders on Twitter: A Weak Supervised Learning Approach
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains
Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection
Finding Streams in Knowledge Graphs to Support Fact Checking
COSMOS: Catching Out-of-Context Misinformation with Self-Supervised Learning
Entity-Aware Dual Co-Attention Network for Fake News Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.