12 papers
DiffRadar: Differentiable Physics-Aware Radar SLAM with Gaussian Fields
Gaurav Bagwe, Xiaoyong Yuan, Yongji Wu +1
DiffRadar is a real‑time radar SLAM system that models radar returns as a differentiable, physics‑aware Gaussian field, allowing joint optimization of robot pose and scene structur…
Scratched Lenses, Shifted Depth: Passive Camera-Side Optical Attacks
Qinlin He, Zeming Zhuang, Yongji Wu +3
Physical adversarial attacks on vision systems are typically studied through scene manipulation, such as adversarial patches or projections, where the adversary controls what the c…
AdvScene: Rethinking Adversarial Patch Evaluation Through Scene Robustness
Xiaoyong, Yuan, Lan +1
Adversarial patches are physical patterns attached to real objects to mislead AI vision systems. Their real-world risk is not determined by a single successful prediction, but by w…
When AI Persuades: Adversarial Explanation Attacks on Human Trust in AI-Assisted Decision Making
Shutong Fan, Lan Zhang, Xiaoyong Yuan
Most adversarial threats in artificial intelligence (AI) target the computational behavior of models rather than the humans who rely on them. Yet modern AI systems increasingly ope…
MOBA: A Material-Oriented Backdoor Attack against LiDAR-based 3D Object Detection Systems
Saket S. Chaturvedi, Gaurav Bagwe, Lan Zhang +2
LiDAR-based 3D object detection is widely used in safety-critical systems. However, these systems remain vulnerable to backdoor attacks that embed hidden malicious behaviors during…
What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale
Xiaoyong Yuan, Xiaolong Ma, Linke Guo +1
Diffusion models (DMs) have revolutionized text-to-image generation, enabling the creation of highly realistic and customized images from text prompts. With the rise of parameter-e…