4 papers
AV-SafetyBench: A Safety Benchmark for Text-to-Audio-Video Generation
Suah Choi, Tae-Young Lee, Gyeong-Moon Park
Recent text-to-audio-video (T2AV) models jointly generate video, speech, sound effects, and ambience from a single text prompt. This capability poses new challenges for safety eval…
Perturb a Model, Not an Image: Towards Robust Privacy Protection via Anti-Personalized Diffusion Models
Tae-Young Lee, Juwon Seo, Jong Hwan Ko +1
Recent advances in diffusion models have enabled high-quality synthesis of specific subjects, such as identities or objects. This capability, while unlocking new possibilities in c…
ESC: Erasing Space Concept for Knowledge Deletion
Tae-Young Lee, Sundong Park, Minwoo Jeon +2
As concerns regarding privacy in deep learning continue to grow, individuals are increasingly apprehensive about the potential exploitation of their personal knowledge in trained m…
Generative Unlearning for Any Identity
Juwon Seo, Sung-Hoon Lee, Tae-Young Lee +2
Recent advances in generative models trained on large-scale datasets have made it possible to synthesize high-quality samples across various domains. Moreover, the emergence of str…