9 citations · 11 across the 5 of their papers we have counts for
5 papers
FlowGuard: Towards Lightweight In-Generation Safety Detection for Diffusion Models via Linear Latent Decoding
Jinghan Yang, Yihe Fan, Xudong Pan +1
Diffusion-based image generation models have advanced rapidly but pose a safety risk due to their potential to generate Not-Safe-For-Work (NSFW) content. Existing NSFW detection me…
Certified Robust Control under Adversarial Perturbations
Jinghan Yang, Hunmin Kim, Wenbin Wan +2
Autonomous systems increasingly rely on machine learning techniques to transform high-dimensional raw inputs into predictions that are then used for decision-making and control. Ho…
PROVES: Establishing Image Provenance using Semantic Signatures
Mingyang Xie, Manav Kulshrestha, Shaojie Wang +4
Modern AI tools, such as generative adversarial networks, have transformed our ability to create and modify visual data with photorealistic results. However, one of the deleterious…
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing
Jinghan Yang, Adith Boloor, Ayan Chakrabarti +2
There is considerable evidence that deep neural networks are vulnerable to adversarial perturbations applied directly to their digital inputs. However, it remains an open question…
Protecting Geolocation Privacy of Photo Collections
Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
People increasingly share personal information, including their photos and photo collections, on social media. This information, however, can compromise individual privacy, particu…