A Survey on ChatGPT: AI-Generated Contents, Challenges, and Solutions
Not on the map. Why?
Abstract (arXiv)
With the widespread use of large artificial intelligence (AI) models such as ChatGPT, AI-generated content (AIGC) has garnered increasing attention and is leading a paradigm shift in content creation and knowledge representation. AIGC uses generative large AI algorithms to assist or replace humans in creating massive, high-quality, and human-like content at a faster pace and lower cost, based on user-provided prompts. Despite the recent significant progress in AIGC, security, privacy, ethical, and legal challenges still need to be addressed. This paper presents an in-depth survey of working principles, security and privacy threats, state-of-the-art solutions, and future challenges of the AIGC paradigm. Specifically, we first explore the enabling technologies, general architecture of AIGC, and discuss its working modes and key characteristics. Then, we investigate the taxonomy of security and privacy threats to AIGC and highlight the ethical and societal implications of GPT and AIGC technologies. Furthermore, we review the state-of-the-art AIGC watermarking approaches for regulatable AIGC paradigms regarding the AIGC model and its produced content. Finally, we identify future challenges and open research directions related to AIGC.
Key facts. Cited by 34 papers in the map (data through 7 Oct 2026). Builds on 58 of its 118 references that are in the map. First posted on arXiv 25 May 2023.
Builds on
58 of 118 references.
References · 58
- 2017Attention Is All You Needcited by 59,932
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2016Membership Inference Attacks against Machine Learning Modelscited by 2,221
- 2020Extracting Training Data from Large Language Modelscited by 2,144
- 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,543
- 2019Machine Unlearningcited by 1,020
- 2017Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoningcited by 1,012
- 2019Deep Leakage from Gradientscited by 1,004
- 2021Ethical and social risks of harm from Language Modelscited by 957
- 2022Ignore Previous Prompt: Attack Techniques For Language Modelscited by 760
38 more
- 2015Distillation as a Defense to Adversarial Perturbations against Deep Neural Networkscited by 675
- 2016Stealing Machine Learning Models via Prediction APIscited by 602
- 2019Local Model Poisoning Attacks to Byzantine-Robust Federated Learningcited by 479
- 2017Differentially Private Federated Learning: A Client Level Perspectivecited by 451
- 2023Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyondcited by 409
- 2019A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAIcited by 403
- 2023A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPTcited by 364
- 2017Adversarial Examples: Attacks and Defenses for Deep Learningcited by 350
- 2018Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooringcited by 334
- 2020FLTrust: Byzantine-robust Federated Learning via Trust Bootstrappingcited by 330
- 2023Multi-step Jailbreaking Privacy Attacks on ChatGPTcited by 320
- 2023The Stable Signature: Rooting Watermarks in Latent Diffusion Modelscited by 289
- 2021Recent Advances in Adversarial Training for Adversarial Robustnesscited by 276
- 2017Embedding Watermarks into Deep Neural Networkscited by 227
- 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 221
- 2020Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Datacited by 200
- 2019Thieves on Sesame Street! Model Extraction of BERT-based APIscited by 136
- 2020Adversarial Watermarking Transformer: Towards Tracing Text Provenance with Data Hidingcited by 121
- 2018Stealing Hyperparameters in Machine Learningcited by 115
- 2020Sponge Examples: Energy-Latency Attacks on Neural Networkscited by 108
- 2019DAWN: Dynamic Adversarial Watermarking of Neural Networkscited by 94
- 2019SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editingcited by 93
- 2023ChatGPT is not all you need. A State of the Art Review of large Generative AI modelscited by 85
- 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
- 2017A Survey of Neuromorphic Computing and Neural Networks in Hardwarecited by 82
- 2019[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attackscited by 82
- 2022A very preliminary analysis of DALL-E 2cited by 82
- 2023Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Servicescited by 76
- 2023AI-Generated Content (AIGC): A Surveycited by 59
- 2017Adversarial examples for generative modelscited by 58
- 2019How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNNcited by 58
- 2020Adv-watermark: A Novel Watermark Perturbation for Adversarial Examplescited by 56
- 2023One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Eracited by 55
- 2022A Survey on Metaverse: Fundamentals, Security, and Privacycited by 51
- 2021Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attackcited by 45
- 2021Defending against Model Stealing via Verifying Embedded External Featurescited by 44
- 2022Supervised GAN Watermarking for Intellectual Property Protectioncited by 39
- 2023A Pathway Towards Responsible AI Generated Contentcited by 38
50 most cited of 58 All 58 (JSON)
Built on by
Citing papers per year: 2023: 6; 2024: 18; 2025: 9; 2026: 1.
34 papers.
Sort:
By area:
- 2024Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systemscited by 63
- 2024Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Mediacited by 35
- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2023Integration of Large Language Models and Federated Learningcited by 28
- 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trendscited by 26
- 2024CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignmentcited by 20
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
- 2024Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challengescited by 14
- 2025Robustness and Cybersecurity in the EU Artificial Intelligence Actcited by 10
- 2023A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communicationcited by 8
- 2024Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Surveycited by 8
- 2025HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Servingcited by 8
22 more
- 2024U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AIcited by 7
- 2024Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rustcited by 5
- 2026SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarkingcited by 5
- 2023Protect Your Prompts: Protocols for IP Protection in LLM Applicationscited by 4
- 2023BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Modelscited by 4
- 2024Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inferencecited by 4
- 2023Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Surveycited by 3
- 2025Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directionscited by 3
- 2024Detecting AI Generated Text Based on NLP and Machine Learning Approachescited by 2
- 2024Evaluating the Efficacy of Large Language Models in Identifying Phishing Attemptscited by 2
- 2024From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmapcited by 2
- 2025Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysiscited by 2
- 2025Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operationscited by 2
- 2023ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitalitycited by 1
- 2024Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?cited by 0
- 2024RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applicationscited by 0
- 2024Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acaciascited by 0
- 2024The Evolution and Future Perspectives of Artificial Intelligence Generated Contentcited by 0
- 2025Strategic Prompt Pricing for AIGC Services: A User-Centric Approachcited by 0
- 2025Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Reviewcited by 0
- 2025FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detectioncited by 0
- 2025A survey: Information search time optimization based on RAG (Retrieval Augmentation Generation) chatbotcited by 0
- 2026SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking13 Mar 2026
- 2025FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection25 Dec 2025
- 2025A survey: Information search time optimization based on RAG (Retrieval Augmentation Generation) chatbot10 Nov 2025
- 2025Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review24 Oct 2025
- 2025Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions29 Sep 2025
- 2025HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving14 Apr 2025
- 2025Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations31 Mar 2025
- 2025Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis31 Mar 2025
- 2025Strategic Prompt Pricing for AIGC Services: A User-Centric Approach23 Mar 2025
- 2025Robustness and Cybersecurity in the EU Artificial Intelligence Act22 Feb 2025
- 2024Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media24 Dec 2024
- 2024The Evolution and Future Perspectives of Artificial Intelligence Generated Content2 Dec 2024
22 more
- 2024From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap28 Oct 2024
- 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends22 Sep 2024
- 2024Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey1 Aug 2024
- 2024Thorns and Algorithms: Navigating Generative AI Challenges Inspired by Giraffes and Acacias16 Jul 2024
- 2024Computing Within Limits: An Empirical Study of Energy Consumption in ML Training and Inference20 Jun 2024
- 2024RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications17 Jun 2024
- 2024CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment7 Jun 2024
- 2024Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?5 Jun 2024
- 2024Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges22 May 2024
- 2024Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rust21 May 2024
- 2024Large Language Models for UAVs: Current State and Pathways to the Future2 May 2024
- 2024Evaluating the Efficacy of Large Language Models in Identifying Phishing Attempts23 Apr 2024
- 2024U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI22 Apr 2024
- 2024Detecting AI Generated Text Based on NLP and Machine Learning Approaches15 Apr 2024
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Review13 Feb 2024
- 2024Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems11 Jan 2024
- 2023A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communication26 Oct 2023
- 2023BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models10 Oct 2023
- 2023Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey19 Sep 2023
- 2023ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality26 Jul 2023
- 2023Integration of Large Language Models and Federated Learning18 Jul 2023
- 2023Protect Your Prompts: Protocols for IP Protection in LLM Applications9 Jun 2023
- 2024Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systemscited by 63
- 2024Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Mediacited by 35
- 2024Large Language Models for UAVs: Current State and Pathways to the Futurecited by 33
- 2023Integration of Large Language Models and Federated Learningcited by 28
- 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trendscited by 26
- 2024Mapping the Ethics of Generative AI: A Comprehensive Scoping Reviewcited by 19
- 2024Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challengescited by 14
- 2025Robustness and Cybersecurity in the EU Artificial Intelligence Actcited by 10
- 2023A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communicationcited by 8
- 2024Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Surveycited by 8
- 2024U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AIcited by 7
- 2024Evaluating AI-generated code for C++, Fortran, Go, Java, Julia, Matlab, Python, R, and Rustcited by 5
12 most cited of 30 All 30 (JSON)
- 2025FUSE: Unifying Spectral and Semantic Cues for Robust AI-Generated Image Detection25 Dec 2025
- 2025Impact and Implications of Generative AI for Enterprise Architects in Agile Environments: A Systematic Literature Review24 Oct 2025
- 2025Toxicity in Online Platforms and AI Systems: A Survey of Needs, Challenges, Mitigations, and Future Directions29 Sep 2025
- 2025Green MLOps to Green GenOps: An Empirical Study of Energy Consumption in Discriminative and Generative AI Operations31 Mar 2025
- 2025Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis31 Mar 2025
- 2025Strategic Prompt Pricing for AIGC Services: A User-Centric Approach23 Mar 2025
- 2025Robustness and Cybersecurity in the EU Artificial Intelligence Act22 Feb 2025
- 2024Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media24 Dec 2024
- 2024The Evolution and Future Perspectives of Artificial Intelligence Generated Content2 Dec 2024
- 2024From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap28 Oct 2024
- 2024Large Model Based Agents: State-of-the-Art, Cooperation Paradigms, Security and Privacy, and Future Trends22 Sep 2024
- 2024Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey1 Aug 2024
12 newest of 30 All 30 (JSON)