> For the complete documentation index, see [llms.txt](https://elwood.gitbook.io/foundation-model-sec/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://elwood.gitbook.io/foundation-model-sec/survey.md).

# Survey

- [Generative AI Security: Challenges and Countermeasures](https://elwood.gitbook.io/foundation-model-sec/survey/generative-ai-security-challenges-and-countermeasures.md)
- [Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems](https://elwood.gitbook.io/foundation-model-sec/survey/beyond-boundaries-a-comprehensive-survey-of-transferable-attacks-on-ai-systems.md)
- [Current state of LLM Risks and AI Guardrails](https://elwood.gitbook.io/foundation-model-sec/survey/current-state-of-llm-risks-and-ai-guardrails.md)
- [Security of AI Agents](https://elwood.gitbook.io/foundation-model-sec/survey/security-of-ai-agents.md)
- [Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents](https://elwood.gitbook.io/foundation-model-sec/survey/watch-out-for-your-agents-investigating-backdoor-threats-to-llm-based-agents.md)
- [Exploring Vulnerabilities and Protections in Large Language Models: A Survey](https://elwood.gitbook.io/foundation-model-sec/survey/exploring-vulnerabilities-and-protections-in-large-language-models-a-survey.md)
- [Unveiling Hallucination in Text, Image, Video, and Audio Foundation Models: A Comprehensive Survey](https://elwood.gitbook.io/foundation-model-sec/survey/unveiling-hallucination-in-text-image-video-and-audio-foundation-models-a-comprehensive-survey.md)
- [Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Mode](https://elwood.gitbook.io/foundation-model-sec/survey/unbridled-icarus-a-survey-of-the-potential-perils-of-image-inputs-in-multimodal-large-language-mode.md)
- [SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and Improving Large Language Mode](https://elwood.gitbook.io/foundation-model-sec/survey/safetyprompts-a-systematic-review-of-open-datasets-for-evaluating-and-improving-large-language-mode.md)
- [Safety of Multimodal Large Language Models on Images and Text](https://elwood.gitbook.io/foundation-model-sec/survey/safety-of-multimodal-large-language-models-on-images-and-text.md)
- [LLM Jailbreak Attack versus Defense Techniques - A Comprehensive Study](https://elwood.gitbook.io/foundation-model-sec/survey/llm-jailbreak-attack-versus-defense-techniques-a-comprehensive-study.md)
- [Survey of Vulnerabilities in Large Language Models  Revealed by Adversarial Attacks](https://elwood.gitbook.io/foundation-model-sec/survey/survey-of-vulnerabilities-in-large-language-models-revealed-by-adversarial-attacks.md)
- [ASurvey on Safe Multi-Modal Learning System](https://elwood.gitbook.io/foundation-model-sec/survey/asurvey-on-safe-multi-modal-learning-system.md)
- [TRUSTWORTHY LARGE MODELS IN VISION: A SURVEY](https://elwood.gitbook.io/foundation-model-sec/survey/trustworthy-large-models-in-vision-a-survey.md)
- [A Pathway Towards Responsible AI Generated Content](https://elwood.gitbook.io/foundation-model-sec/survey/a-pathway-towards-responsible-ai-generated-content.md)
- [A Survey of Hallucination in “Large” Foundation Models](https://elwood.gitbook.io/foundation-model-sec/survey/a-survey-of-hallucination-in-large-foundation-models.md)
- [An Early Categorization of Prompt Injection Attacks on Large Language Models](https://elwood.gitbook.io/foundation-model-sec/survey/an-early-categorization-of-prompt-injection-attacks-on-large-language-models.md)
- [Comprehensive Assessment of Jailbreak Attacks Against LLMs](https://elwood.gitbook.io/foundation-model-sec/survey/comprehensive-assessment-of-jailbreak-attacks-against-llms.md)
- [A Comprehensive Overview of Backdoor Attacks in Large Language Models within Communication Networks](https://elwood.gitbook.io/foundation-model-sec/survey/a-comprehensive-overview-of-backdoor-attacks-in-large-language-models-within-communication-networks.md)
- [Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks](https://elwood.gitbook.io/foundation-model-sec/survey/survey-of-vulnerabilities-in-large-language-models-revealed-by-adversarial-attacks-1.md)
- [Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally](https://elwood.gitbook.io/foundation-model-sec/survey/adversarial-machine-learning-for-social-good-reframing-the-adversary-as-an-ally.md)
- [Red-Teaming for Generative AI: Silver Bullet or Security Theater?](https://elwood.gitbook.io/foundation-model-sec/survey/red-teaming-for-generative-ai-silver-bullet-or-security-theater.md)
- [A STRONGREJECT for Empty Jailbreaks](https://elwood.gitbook.io/foundation-model-sec/survey/a-strongreject-for-empty-jailbreaks.md)