負の影響「AIにより偽情報を作成」

ディープフェイク

• Face2Face: Real-time Face Capture and Reenactment of RGB Videos, 2016
• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks, 2017
• AttGAN: Facial Attribute Editing by Only Changing What You Want, 2017
• FSGAN: Subject Agnostic Face Swapping and Reenactment, 2019
• STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing, 2019
• A Style-Based Generator Architecture for Generative Adversarial Networks, 2019
• Few-Shot Adversarial Learning of Realistic Neural Talking Head Models, 2019

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ソーシャルエンジニアリング攻撃

• Digital Deception: Generative Artificial Intelligence in Social Engineering and Phishing, 2023
• Spear Phishing With Large Language Models, 2023
• Defending Against Social Engineering Attacks in the Age of LLMs, 2024

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アライメント

• Training language models to follow instructions with human feedback, 2022.0
• Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback, 2022.0
• Constitutional AI: Harmlessness from AI Feedback, 2022.0
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model, 2023.0
• A General Theoretical Paradigm to Understand Learning from Human Preferences, 2023.0
• RRHF: Rank Responses to Align Language Models with Human Feedback without tears, 2023.0
• Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations, 2023.0
• Self-Rewarding Language Models, 2024.0
• KTO: Model Alignment as Prospect Theoretic Optimization, 2024.0
• SimPO: Simple Preference Optimization with a Reference-Free Reward, 2024.0

生成AI向け電子透かし

• A Watermark for Large Language Models, 2023.0
• Provable Robust Watermarking for AI-Generated Text, 2023.0
• Unbiased Watermark for Large Language Models, 2023.0
• Undetectable Watermarks for Language Models, 2024.0
• Robust Distortion-free Watermarks for Language Models, 2024.0

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AIによる出力の識別

• Defending Against Neural Fake News, 2019.0
• Real or Fake? Learning to Discriminate Machine from Human Generated Text, 2019.0
• Automatic Detection of Generated Text is Easiest when Humans are Fooled, 2020.0
• DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature, 2023.0
• Inspection and Control of Self-Generated-Text Recognition Ability in Llama3-8b-Instruct, 2025.0

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偽情報の検出

• Fake News Detection on Social Media: A Data Mining Perspective, 2017.0
• CSI: A Hybrid Deep Model for Fake News Detection, 2017.0
• Towards Few-Shot Fact-Checking via Perplexity, 2021.0
• Fact-Checking Complex Claims with Program-Guided Reasoning, 2023.0
• Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method, 2023.0

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ディープフェイクの検知

• Two-Stream Neural Networks for Tampered Face Detection, 2017.0
• Exposing DeepFake Videos By Detecting Face Warping Artifacts, 2019.0
• Exposing Deep Fakes Using Inconsistent Head Poses, 2019.0
• CNN-generated images are surprisingly easy to spot… for now, 2020.0
• Face X-ray for More General Face Forgery Detection, 2020.0
• FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals, 2020.0
• End-to-end anti-spoofing with RawNet2, 2021.0

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教育やフォローアップ

• What Students Can Learn About Artificial Intelligence — Recommendations for K-12 Computing Education, 2022.0
• Learning to Prompt in the Classroom to Understand AI Limits: A pilot study, 2023.0
• Evaluating the Effectiveness of LLMs in Introductory Computer Science Education: A Semester-Long Field Study, 2024.0
• The Essentials of AI for Life and Society: An AI Literacy Course for the University Community, 2025.0