Adversarial attacks and defenses on text-to-image diffusion models: A survey
C Zhang, M Hu, W Li, L Wang - Information Fusion, 2024 - Elsevier
Recently, the text-to-image diffusion model has gained considerable attention from the
community due to its exceptional image generation capability. A representative model …
community due to its exceptional image generation capability. A representative model …
Attacks and defenses for generative diffusion models: A comprehensive survey
Diffusion models (DMs) have achieved state-of-the-art performance on various generative
tasks such as image synthesis, text-to-image, and text-guided image-to-image generation …
tasks such as image synthesis, text-to-image, and text-guided image-to-image generation …
Vbench++: Comprehensive and versatile benchmark suite for video generative models
Video generation has witnessed significant advancements, yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …
remains a challenge. A comprehensive evaluation benchmark for video generation is …
Safree: Training-free and adaptive guard for safe text-to-image and video generation
Recent advances in diffusion models have significantly enhanced their ability to generate
high-quality images and videos, but they have also increased the risk of producing unsafe …
high-quality images and videos, but they have also increased the risk of producing unsafe …
Rt-attack: Jailbreaking text-to-image models via random token
Recently, Text-to-Image (T2I) models have achieved remarkable success in image
generation and editing, yet these models still have many potential issues, particularly in …
generation and editing, yet these models still have many potential issues, particularly in …
Meta-unlearning on diffusion models: Preventing relearning unlearned concepts
With the rapid progress of diffusion-based content generation, significant efforts are being
made to unlearn harmful or copyrighted concepts from pretrained diffusion models (DMs) to …
made to unlearn harmful or copyrighted concepts from pretrained diffusion models (DMs) to …
Navigating the risks: A survey of security, privacy, and ethics threats in llm-based agents
With the continuous development of large language models (LLMs), transformer-based
models have made groundbreaking advances in numerous natural language processing …
models have made groundbreaking advances in numerous natural language processing …
Jailbreak Attacks and Defenses against Multimodal Generative Models: A Survey
The rapid evolution of multimodal foundation models has led to significant advancements in
cross-modal understanding and generation across diverse modalities, including text …
cross-modal understanding and generation across diverse modalities, including text …
AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models
As text-to-image (T2I) models continue to advance and gain widespread adoption, their
associated safety issues are becoming increasingly prominent. Malicious users often exploit …
associated safety issues are becoming increasingly prominent. Malicious users often exploit …
Espresso: Robust Concept Filtering in Text-to-Image Models
Diffusion-based text-to-image (T2I) models generate high-fidelity images for given textual
prompts. They are trained on large datasets scraped from the Internet, potentially containing …
prompts. They are trained on large datasets scraped from the Internet, potentially containing …